Dr Emmanuel Ogungbemi

Head of Data Engineering | I help you improve your productivity with data and AI

From being a data analyst to leading the development of data pipelines, my journey in data engineering and analytics has been both challenging and rewarding.

When I began my career in data, I faced the daunting task of turning vast amounts of raw data into actionable insights.

The problem? Many organisations struggle with fragmented data and inefficient processes.

Here's how I tackled these challenges and built a successful career in data:

1. Crafted Data Solutions: Designed and implemented a Common Data Platform, ensuring seamless data integration and access.
2. Led Innovative Projects: At NATS, I contributed to the world's first AI system for air traffic control, utilising digital twinning and machine learning.
3. Developed Future Talent: Shaped data science and engineering education at Multiverse by developing comprehensive curricula for degree-level apprenticeships.
4. Consulted on High-Impact Projects: Provided AI and data science consultancy for industry giants like BP, Sword and Chaucer (now BIP UK), driving data-driven decision-making and innovation.

Now, I'd like to talk about you.

Are you aspiring to become a successful data analyst/data scientist/data engineer but need help figuring out where to start?

Here's a roadmap to guide you:

1. Master the Fundamentals:
- Learn key programming languages like Python and SQL.
- Understand data structures, algorithms, and database management.

2. Gain Practical Experience:
- Work on real-world projects to apply your skills.
- Use tools like Power BI and Tableau for data visualisation.

3. Join the Community:
- Participate in data science forums and attend industry events.
- Network with professionals to exchange knowledge and opportunities.

4. Continuous Learning:
- Stay updated with the latest trends and technologies in data analytics.
- Take advanced courses to deepen your expertise.

To help you get started, I've created a comprehensive Data Analyst Roadmap that outlines the essential steps and resources you need to succeed.

Join my email list to register your interest in my free Data Analyst Roadmap.

You have the potential to excel in the data industry, and I'm here to support your journey.

Let's connect and share our experiences in data engineering and analytics!

Head of Data Engineering

You're STILL a data analyst, even if...

- Excel is your main tool
- SQL syntax slips your mind
- You didn't ace that important interview
- Programming isn't your strong suit
- You made a mistake in your analysis
- You can't recall the exact function name
- You need to Google how to redo something simple
- You're NOT a data analyst when...

You decide to quit
SO DON'T QUIT! KEEP PUSHING FORWARD!

I help you break into data science and AI with practical tips, real-world insights, and the latest trends.

I am excited to share an essential resource: Structured Query Language (SQL) by Fang Ying, Sham!

This comprehensive guide covers fundamental SQL concepts and commands, making it perfect for students, professionals, and anyone looking to deepen their understanding of SQL and database management.

Key topics include:
- Creating and using databases and tables
- Inserting, updating, and deleting records
- Basic SQL queries: SELECT, WHERE, ORDER BY, DISTINCT
- Advanced SQL operations include JOINs, UNIONS, INTERSECT, and EXCEPT.
- Working with views, temporary tables, and common table expressions (CTEs)
- String functions, subqueries, and stored procedures
- SQL ranking functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE
- Handling NULL values and using CASE statements
- Aggregation functions: COUNT, SUM, AVG, MAX, MIN
- Data type conversions and partitioning

Enhance your SQL skills and streamline your database management tasks with this detailed guide!

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- Add your comment!

SQL Commands II

I am excited to share an invaluable resource: Introduction to Programming with Python!

This comprehensive guide covers the fundamental concepts of programming using Python. 

Perfect for students, beginners, and anyone looking to enhance their programming skills, this document provides clear explanations and practical examples.

Key topics include:
- Programming basics: source code, syntax, and output
- Compiling and interpreting Python code
- Working with expressions, arithmetic operators, and precedence
- Handling integer and real number operations
- Using variables and assignment statements
- Printing output and reading user input
- Control flow: loops (for, while) and conditionals (if/else)
- Data types: strings, lists, tuples, sets, and dictionaries
- Functions and higher-order functions
- Object-oriented programming: classes, objects, methods, and inheritance
- File processing and text manipulation


Enhance your Python programming knowledge and build a solid foundation with this detailed guide!

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- Save to revisit down the road
- Add your comment!

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The award of this certificate is in recognition of my participation in the SEEP 2019 conference held between 18 - 21 November 2019 at the University of Sharjah, United Arab Emirates where I delivered two (2) papers.

Certificate of Participation

The certificate is a result of my participation in the 5th International Conference on Material Science & Smart Materials where I presented a poster titled "Characterisation of Solar Materials and Electronic Devices using Cadmium Telluride (CdTe) and Zinc Sulphite (ZnS) as a Case Studies"

Certificate

The certificate is a result of my participation in the SEEP 2018 conference where I presented a paper titled "Effect of Membrane Thickness on the Performance of PEM Fuel Cell"

Certificate of National Service

I received this letter due to my invaluable contribution to the successful delivery of the first historic comprehensive training programme for the Volunteer Cadets in Nigeria, the OYES Volunteer Cadets' Training Course.  

Letter of Appreciation

The certificate is a recognition of my service to the club as the Vice-President (Business) in 2010.

Certificate of Fellowship

The award is a recognition of my service to the student society as General Secretary - 2007/2008, Vice-President - 2008/2009, President - 2009/2010 and National Vice-President (West) - 2010/2011.

Certificate of Service

This certificate is due to my participation in the 40th annual general meeting and conference of the society.

Certificate of Attendance

I received this certificate as a result of my participation in the international essay competition organised by the World Bank. The title is "How does youth unemployment affect you? How can you tackle youth unemployment through youth-led solutions"

Certificate of Merit

Marketing: Copywriting for Social Media

Developing CI/CD Solutions with Azure DevOps

Python Projects

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure AI Fundamentals

Microsoft Certified: Azure Data Fundamentals

Microsoft Certified: Azure Fundamentals

Data Engineering Foundations

[PCAP-31-03] PCAP – Certified Associate in Python Programming

Agile at Work: Building Your Agile Team

Scrum: The Basics

Stay Lean with Kanban

Machine Learning Essentials for Seismic Interpretation

Starting a Memorable Conversation

Artificial Intelligence Foundations: Neural Networks

Diversity, Inclusion, and Belonging

Machine Learning and AI Foundations: Classification Modeling

Body Language for Leaders

Industrial/Oilfield Health, Safety & Environmental Management Appreciation

Introduction to Auditing and Evaluating Behaviour Change (IEMA approved training)

International Association of Engineers

Institution of Chemical Engineers (IChemE)

The Institution of Engineering and Technology

Emmanuel is dedicated to helping you break into data science and AI with practical tips, real-world insights, and the latest trends.

Emmanuel Ogungbemi | Substack

We are delighted to be back for the second edition of ML Club Live!

This event is all about getting hands-on with GenAI, with some coding examples and also some discussions of interesting papers.

As always, this is community-driven, so if you want to come and speak about anything related to ML or AI, even for 10 minutes, please reach out to Emmanuel (bunmieogungbemi@gmail.com) or Andy (andrewpmcmahon629@gmail.com).

ML Club - July 2024 - Hands on with GenAI, Tue, Jul 2, 2024, 5:30 PM | Meetup

I coordinate Real Projects Talk for AFBE-UK Scotland

Organising Data Science and Engineering events
- To help newbies get into data science
- Organise boot camps to support learning and development
- Support working professionals by providing mentorship and advice
- https://www.meetup.com/ml-club/

Introduction to Programming with Python

I am excited to share an essential resource: An Introduction to SQL by Alkistis Pourtsidou from Queen Mary, University of London!

This comprehensive guide covers the fundamental concepts of SQL, making it perfect for students, professionals, and anyone looking to deepen their understanding of databases and SQL. 

From basic queries to advanced operations, this document provides a thorough introduction to SQL.

Key topics include:
- What is SQL and why we need databases?
- Ways to use SQL: console commands, GUI interfaces, and programming language interfaces
- Basic SQL commands: SHOW DATABASES, SHOW TABLES, SHOW COLUMNS, DESCRIBE
- Variable types supported by SQL: Numeric, Character, Binary, and Temporal
- Hands-on examples using SQLite3 in Python
- Exploring tables and combining information using JOIN
- Exercises and tasks to practice SQL skills
- Introduction to PostgreSQL: installation, creating databases, and running queries
- Handling NULL values, creating views, string concatenation, and subqueries


Enhance your SQL skills and database management knowledge with this detailed guide!

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- Add your comment!

An Introduction to SQL

I'm excited to share an essential resource: the Python Basics Cheatsheet by Waleed Mousa!

This comprehensive cheatsheet covers fundamental Python concepts and commands, making it perfect for beginners and experienced programmers alike. 

It's a handy reference guide to enhance your coding skills and boost your productivity in Python.

Key topics include:
- Basic Syntax and Operations
- Data Structures: Lists, Dictionaries, Tuples, and Sets
- Control Flow: If statements, loops, and comprehensions
- Functions and Modules: Defining, importing, and using functions
- Error Handling: Try-except blocks and raising exceptions
- File Handling: Reading, writing, and managing files
- Object-Oriented Programming: Classes, objects, inheritance, and more
- Advanced Topics: Lambda functions, generators, decorators, and context managers
- Popular Libraries: NumPy, Pandas, Matplotlib, and more
- Date and Time Operations
- File Paths and Directories
- Networking and HTTP Requests
- Debugging and Profiling
- Testing and Writing Unit Tests
- Virtual Environments and Packaging
- Regular Expressions
- Data Serialization: JSON and Pickle
- Multithreading and Multiprocessing
- Asynchronous Programming


Enhance your Python programming knowledge and keep this cheatsheet as a quick reference to streamline your coding tasks!

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- Add your comment!

Python Basics

Cloud Computing Tutorial

I am excited to share an essential resource: Big Data Engineering Interview Questions & Answers!

This comprehensive guide is perfect for anyone preparing for big data engineering interviews. 

It covers a wide range of topics, from SQL and Scala programming to tools like Sqoop, Hive, and Spark, providing valuable insights and detailed answers to help you ace your interviews.

Key topics include:
- SQL Interview Questions: Understanding query execution sequence, normalization, database objects, constraints, transactions, and various SQL operations.
- Scala Programming: Basics of Scala, Tail-Recursion, Traits, Case Classes, and Higher-Order Functions.
- Sqoop Interview Questions: Data Import/Export, Connectors, and Performance Tuning.
Hive Interview Questions: Hive architecture, data types, partitions, and optimization techniques.
- Spark Interview Questions: RDDs, DataFrames, Spark SQL, and Performance Tuning.
Top 250+ Interview Questions: Covering a broad spectrum of big data tools and technologies.
- Miscellaneous Interview Questions: Addressing various aspects of big data engineering, including data modelling, ETL processes, and big data ecosystems.


Enhance your interview preparation and big data engineering skills with this detailed guide!

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Big Data Engineering Interview Questions and Answers

Excited to share an essential resource: Model Evaluation and Selection Cheatsheet by Waleed Mousa!

This comprehensive cheatsheet covers crucial techniques and best practices for evaluating and selecting machine learning models. 

Perfect for data scientists, ML engineers, and anyone working with machine learning, this document provides quick references to help you optimize your models.

Key topics include:
- Data Splitting: Techniques for splitting datasets into training, test, and validation sets.
- Model Evaluation Metrics: Accuracy, precision, recall, F1 score, ROC AUC, MSE, MAE, R2 score, and more.
- Cross-validation: K-fold, stratified K-fold, leave-one-out, and multi-metric cross-validation.
- Hyperparameter Tuning: Grid search CV, randomized search CV, and Bayesian optimization.
- Model Selection: Comparing classifiers, feature importance, and pipeline creation.
- Ensemble Methods: Random Forest, Gradient Boosting, AdaBoost, and stacking classifiers.
- Dimensionality Reduction: PCA, t-SNE, and feature selection.
- Data Preprocessing: Scaling, encoding, imputing, and generating polynomial features.
- Advanced Model Evaluation: ROC and precision-recall curves, confusion matrix visualization, adjusted R2.
- Handling Imbalanced Datasets: Under-sampling, over-sampling, SMOTE, and class weights.
- Advanced Feature Selection: Recursive feature elimination, mutual information, SelectKBest.
- Model Interpretability: Permutation importance, SHAP values, LIME.
- Time Series Analysis: Rolling and expanding window features, time series cross-validation.
- Working with Text Data: CountVectorizer, TF-IDF, and word embeddings.
- Neural Networks: Keras/TensorFlow, early stopping, custom loss functions, fine-tuning pre-trained models.


Enhance your model evaluation and selection process with this detailed cheat sheet!

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ML - Model evaluation and selection

7 Clear Signs You’re Being Undervalued at Work:

(And what to do about it)

1.	You’re Excluded from Decisions
↳ Major decisions are made without your input.
↳ This makes you feel sidelined and unimportant.
↳ Being part of key discussions should be the norm, not the exception.

2.	They Give You Busywork, Not Impactful Projects
↳ You’re handed small, non-impactful tasks while others take on critical projects.
↳ Your potential is being wasted on work that doesn’t move the needle.
↳ Push for projects that align with your strengths and goals.

3.	You’re Not Set Up to Succeed
↳ You lack the resources, support, or clarity needed to perform well.
↳ This leads to frustration and sets you up for failure.
↳ Success requires the right tools and direction—don’t settle for less.

4.	Your Role Expands Without Rewards
↳ You’re constantly taking on more responsibilities, but your title and pay stay the same.
↳ If you’re doing more, you deserve to be compensated accordingly.
↳ Speak up about aligning your role with fair recognition.

5.	No Recognition for Your Hard Work
↳ Your contributions go unnoticed, and there’s no appreciation for what you do.
↳ Recognition is key for morale and motivation, and everyone deserves it.
↳ It’s time to request regular feedback and acknowledgment.

6.	Your Growth Stalls
↳ You’re not being given opportunities to develop new skills.
↳ If you feel stuck, it’s a sign your potential isn’t being nurtured.
↳ Start exploring options that align with your growth ambitions.

7.	Inadequate Compensation
↳ Your salary doesn’t reflect your contributions to the company.
↳ If others in similar roles are being paid more, it’s time to negotiate.
↳ Know your worth and advocate for fair compensation.

________________________________________

Feeling undervalued can be draining, 
but recognizing the signs is the first step to change.

Do any of these resonate with you? 
Let me know in the comments! 👇

Thanks, Dora Venourek for sharing.

♻️ Repost to help others recognize their worth.
🔔 Follow Emmanuel Ogungbemi for more workplace and career insights.

7 Signs You Are UnderValued At Work

When I first entered the world of data, I discovered the power of SQL and databases to transform raw data into meaningful insights.

The challenge? 

Many professionals struggle to grasp the foundational concepts and practical applications of SQL.

Here's how I mastered SQL and databases and advanced my career:

1. Learning the Basics
I started with the core concepts of relational databases and understanding tables, relationships, and critical constraints.

2. Hands-On Practice
Wrote optimised SQL queries to extract, manipulate, and analyse data across various projects.

3. Complex Problem Solving: 
Designed and implemented efficient database schemas and complex queries to support large-scale data platforms.

4. Continuous Improvement
Stayed updated with the latest database technologies and best practices through courses, certifications, and community involvement.

Now, let's talk about you.

Are you looking to enhance your skills in SQL and databases but don't know where to start?

Here's a structured approach to help you:

1. Understand the Fundamentals
- Learn about relational database concepts and structures.

2. Get familiar with SQL syntax and basic queries (SELECT, INSERT, UPDATE, DELETE).

3. Practical Application
- Practice writing SQL queries to solve real-world problems.
- Use database management systems like MySQL, PostgreSQL, and Microsoft SQL Server.

4. Advanced Techniques:
- Explore advanced SQL topics such as joins, subqueries, indexing, and transaction management.
- Learn how to denormalise database schemas for efficient data storage and retrieval.

5. Continuous Learning and Networking
- Join SQL and database forums to ask questions and share knowledge.
- Attend webinars and workshops to stay updated with industry trends.

I've created a comprehensive Data Analyst Roadmap to support your learning journey with essential steps and resources for mastering SQL and databases.

To get a link to download your free Data Analyst Roadmap, do this:
1. Repost 
2. Comment "share".

You have the potential to excel in SQL and database management, and I'm here to help you achieve your goals.

Let's connect and share our experiences in data engineering and analytics!

Excited to share an essential resource: Data Engineering Cert Prep - Notes!

This comprehensive guide is perfect for anyone preparing for a data engineering certification. It covers a wide range of topics, from Databricks basics to advanced ETL processes with Spark SQL, making it an invaluable resource for data engineers.


Key topics include:
- Databricks Basics: Creating clusters, using notebooks, and running different languages.
- Delta Lake: Managing Delta tables, merge operations, and advanced options like Optimize and Z ORDER.
- Relational Entities: Databases, tables, views, and common table expressions (CTEs).
- ETL with Spark SQL: Querying files, creating Delta tables, and writing to tables.
- Advanced SQL Transformation: Working with JSON data, arrays, joins, pivot tables, and higher-order functions.
- Python for Spark SQL: Using Python for data manipulation and control flow within Spark SQL.
- Incremental Data Processing: Utilizing Autoloader for incremental data processing.
- Medallion Architecture: Understanding the Bronze, Silver, and Gold architecture for data processing.
- Delta Live Table: Using declarative language for ETL processes, quality control, and referencing streaming tables.
- Task Orchestration: Running jobs and managing dependencies with DAG.
- DB SQL & Dashboard: Executing SQL queries, creating dashboards, and setting up alerts.
- Managing Permissions: Using Data Explorer to set and modify permissions.


Enhance your preparation for data engineering certifications and streamline your data engineering processes with this detailed guide!

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Data Engineering Certificates Preparation

Excited to share an invaluable resource: Machine Learning and Deep Learning by Sven-Patrik Hallsjö!

This comprehensive guide delves into the fundamental concepts and advanced techniques of machine learning and deep learning. 

Perfect for students, professionals, and enthusiasts, this document provides a thorough overview of key topics, supported by practical examples and insights from leading resources.

Key topics include:
- Introduction to Machine Learning: Supervised vs. Unsupervised Learning, Linear Regression, and Motivating Deep Learning.
- Deep Learning: Forward Feed, Backfitting, Learning vs. Pure Optimization, and Convolutional Neural Networks (CNN).
- Real-life Applications and Current Research: Practical applications and ongoing research in the field.
- Neurons and Perceptrons: Understanding the basics of neural networks and their implementation.
- Universal Approximation: Theoretical foundations and practical implications of deep learning models.
- Backpropagation: Detailed explanation of the backpropagation algorithm and its importance in training neural networks.
- Convolutional Networks (CNN): Specialized neural networks for processing grid-like data, such as images and time-series data.
- Online Applications and Resources: Practical tutorials and resources for applying machine learning and deep learning in real-world scenarios.
- Further Learning Resources: A curated list of courses, tutorials, and lectures from top institutions and platforms.


Enhance your understanding of machine learning and deep learning with this detailed guide and take your skills to the next level!

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Machine Learning - Deep Learning

I am excited to share an invaluable resource: CI/CD Pipeline-as-Code with Jenkins and Docker by Kishore Bhatia!

This comprehensive guide explores how to effectively use Jenkins and Docker together to create seamless CI/CD pipelines. 

Perfect for DevOps engineers and developers, this document covers essential techniques and best practices for building, testing, and deploying applications.

Key topics include:
- Running Jenkins Masters and Slaves in Docker
- Building, testing, and deploying Docker images from Jenkins
- Custom build environments for reproducibility and isolation
- Managing Docker host configurations with CloudBees Docker Shared Config
- Traceability of Docker images and containers in Jenkins
- Integrating Docker Hub notifications to trigger Jenkins jobs
- Implementing Jenkins Pipeline-as-Code for streamlined workflows


Enhance your CI/CD processes and streamline your DevOps practices with this detailed guide!

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CICD Pipeline-as-code with Jenkins and Docker

I am excited to share an insightful resource: Apache Spark (CS240A) by T. Yang!

This comprehensive guide explores the powerful capabilities of Apache Spark for distributed computing. 

Ideal for data scientists, engineers, and anyone working with big data, this document provides a deep dive into Spark's architecture, APIs, and applications.

Key topics include:
- Introduction to Hadoop and MapReduce
- Overview of Spark and its advantages over MapReduce
- Python examples and list comprehension
- Key concepts of RDDs (Resilient Distributed Datasets)
- Language support for Python, Scala, and Java
- Creating RDDs and Spark transformations
- Basic actions and working with key-value pairs
- Detailed explanation of the DAG scheduler
- Setting the level of parallelism
- Interactive shell and standalone application usage
- Example application: PageRank algorithm using MapReduce


Enhance your understanding of distributed computing and harness the full power of Apache Spark with this detailed guide!

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Apache Spark

Microsoft Azure - AZ 900 Introduction

The 8 Software Development Life Cycle Models You Should Know

Choosing the right software development model can significantly impact the success of your project. 

Here are 8 SDLC models and when you should consider using them:

1.	Waterfall
↳ Sequential phases: design, build, test, deploy.
↳ Best for projects with clear, unchanging requirements.
↳ Simple but rigid—ideal for small projects.

2.	Spiral
↳ Iterative and risk-driven approach with continuous refinement.
↳ Useful for complex projects that involve high risk and frequent changes.
↳ Allows for continuous evaluation and improvement.

3.	Agile
↳ Focuses on delivering incremental updates through short sprints.
↳ Ideal for projects requiring flexibility and collaboration.
↳ Prioritizes customer feedback and adaptive planning.

4.	Iterative
↳ Builds software in iterations, improving with each cycle.
↳ Great for large projects that need continuous refinements.
↳ Each iteration includes design, testing, and implementation.

5.	V-Model
↳ Developers and testers work in parallel—strict validation and verification process.
↳ Best for projects where validation at each step is essential.
↳ Ensures thorough testing before progressing to the next phase.

6.	Incremental
↳ Delivers the software in smaller, manageable increments.
↳ Ideal for large projects where full deployment isn’t feasible from the start.
↳ Each increment brings a working version closer to the final product.

7.	Big Bang
↳ Everything is developed at once—no formal planning.
↳ High risk but suitable for small projects or experimental prototypes.
↳ Requires significant time and resources upfront.

8.	Rapid Application Development (RAD)
↳ Focuses on quick development and frequent iterations through prototypes.
↳ Best for projects with tight deadlines or evolving requirements.
↳ Encourages user feedback and fast adaptation to changes.

________________________________________

Which SDLC model fits your project needs? Let me know in the comments! ⬇️

♻️ Repost to help your network understand SDLC models.
🔔 Follow Emmanuel Ogungbemi for more insights on software development best practices.

No alternative text description for this image

Transform Your Life Today! 

Discover These 11 Unbelievable Tricks to Boost Your Productivity and Success! 🌟

Feeling stuck in your routine? 

It's time to shake things up! 

Here are 11 simple yet powerful changes you can make right now to drastically improve your personal and professional life:

1/ Set Clear, Achievable Goals - Break your dreams down into actionable steps.

2/ Rise Early - Win the morning, win the day!

3/ Exercise Daily - Boost your energy levels and clear your mind.

4/ Read Every Day - Expand your knowledge and escape the mundane.

5/ Prioritize Your Tasks - Focus on what really moves the needle.

6/ Practice Gratitude - Keep a journal and reflect on what you appreciate every day.

7/ Learn to Say No - Protect your time and commit to what truly matters.

8/ Take Regular Breaks - Prevent burnout and keep your mind fresh.

9/ Network Proactively - Surround yourself with people who inspire you to grow.

10/ Embrace Lifelong Learning - Stay curious and always be willing to learn something new.

11/ Visualize Success - Spend time each day imagining your life as you want it to be.

Don't just dream about a better life—make it happen! 

Start incorporating these habits into your daily routine and watch how they open doors to new opportunities and paths to success. 

What’s your first step going to be? 

Let me know in the comments below!

11visuals

36 Ways to Improve Yourself

Improving oneself is a continuous journey, and there are many avenues to explore that can lead to personal growth. 

Here are 36 ways to work on self-improvement:

1. Read daily: commit to reading books that challenge your perspective.

2. Set clear goals: define what you want to achieve in different areas of your life.

3. Exercise regularly: keep your body healthy with routine physical activity.

4. Meditate: spend time in quiet reflection to improve mindfulness and reduce stress.

5. Wake Up Early: start your day with purpose and quiet time to plan.

6. Learn a New Skill: whether it’s a language or a craft, learning keeps your brain sharp.

7. Keep a journal: write down your thoughts and reflections to understand yourself better.

8. Drink more water: hydration is key to maintaining energy and health.

9. Eat healthier: focus on a balanced diet that fuels your body and mind.

10. Stretch daily: maintain flexibility and prevent injuries.

11. Practice gratitude: remind yourself daily of what you’re thankful for.

12. Declutter: reduce stress by keeping your living and working spaces organized.

13. Travel: experience new cultures and ideas.

14. Volunteer: give back to the community to gain perspective and feel more connected.

15. Limit social media: be mindful of the time you spend online.

16. Set a budget: manage your finances to reduce stress and achieve your financial goals.

17. Practice public speaking: improve your communication skills and confidence.

18. Listen actively: Enhance your relationships by really listening to others.

19. Start a side project: channel your passions into a project.

20. Rest Effectively: Ensure you get enough sleep and take breaks to recharge.

21. Say no: honour your boundaries and spend time on what truly matters to you.

22. Ask for feedback: Understand how others perceive you and where you can improve.

23. Take courses: online courses can help you progress professionally and personally.

24. Stay Inspired: Watch TED talks, listen to podcasts, and seek inspiring content.

25. Network: Connect with people who can influence and motivate you.

26. Forgive: Let go of grudges to free yourself from negative emotions.

27. Be patient. Understand that personal growth takes time.

28. Seek Challenges: Step out of your comfort zone to grow.

29. Practice Positive Self-Talk: Encourage yourself and avoid negative thoughts.

30. Stay Organized: Keep track of your tasks and responsibilities.

31. Reduce Stress: Identify stressors and find ways to mitigate them.

32. Follow Your Curiosity: Allow yourself to explore new topics.

33. Improve Your Body Language: Communicate confidence and openness.

34. Build resilience: learn from setbacks and keep moving forward.

35. Maintain friendships


36. Celebrate small wins

These steps can help guide you on a path to a more fulfilling and balanced life. 

Each step taken is a step toward becoming the best version of yourself.

Data Science is NOT All About Coding. 
 
 
When I first entered the data science arena armed with solid coding skills, I thought I was fully equipped.  
 
But as I navigated real-world data challenges, I quickly realized that my coding prowess was just one piece of the puzzle.  
 
The journey into data science demanded much more! 
 
Data science is indeed a mosaic of skills, not a monolith built solely on coding. It thrives on a blend of technical skills and strategic thinking. 
 
DOs: 
 
- Embrace Statistics 
 
Master statistical methods to extract meaningful insights from raw data. 
 
- Cultivate Domain Expertise 
 
Deepen your understanding of the industry you're serving to make your analyses more impactful. 
  
- Enhance Problem-Solving Skills 
 
Engage in projects that push your analytical boundaries and require novel solutions. 
 
DON'Ts: 
 
- Don't Focus Solely on Coding 
 
While important, don't neglect the power of analytical reasoning and contextual knowledge. 
 
- Don't Ignore Soft Skills 
 
Communication and teamwork are crucial in translating data insights into actionable business decisions. 
 
- Don't Stop Learning 
 
The field is evolving rapidly; staying updated is key to staying relevant. 
 
Did you ever encounter a moment in your data science journey where coding alone wasn't enough?  
 
What other skills have you found essential? 
 
If this resonates with you, like, comment, and share your thoughts!  
 
How do you balance data science's technical and strategic demands in your career? 
 
Stay tuned for more myths busted and tips shared.  
 
Follow me, and let's connect to explore the multifaceted world of data science together!

The worst part of working in SQL? Waiting for your query to run.

Here are 9 tips for optimizing your SQL queries 

- Reduce Unnecessary Data Processing

Delay using ORDER BY until the final SELECT statement. Subqueries and CTEs usually don�t need ordering.

Use DISTINCT sparingly. It can be computationally expensive, especially on large datasets.

Opt for UNION ALL instead of UNION when duplicates are acceptable or unlikely.

SELECT only the specific columns you need instead of using SELECT *.

- Take Advantage of Indexes on Your Tables

Filter on the index key whenever possible to minimise the data size processed.

Limit the use of OR conditions, as they can lead to inefficient full table scans.

Avoid using functions in WHERE clauses, as they can interfere with indexing.

- Reduce Cardinality of JOINS

Use a CTE or subquery to filter and reduce table sizes before performing a JOIN.

Apply filter conditions in the ON clause rather than the WHERE clause to reduce rows before the JOIN operation.

Found this useful? Share it with others!

LinkedIn Growth Hacker✌️ ||Believe in Smart work💥 || Content Creator🖋️|| Believe in Opportunities💫|| Adding a little spark✨

LinkedIn Growth Hacker | Brand Builder | Marketer | ML Engineer | Public Speaker | Featured at Times Square

Most LinkedIn profiles get views. Few get growth.

I help creators, professionals, and brands turn their LinkedIn presence into a growth engine, attracting visibility, opportunities, and authority.

Many people have incredible skills or products, but their profiles don’t reflect their value. I change that.

I’ve scaled my own LinkedIn to 130,000+ followers, not with luck, trends, or gimmicks, but with a proven system of growth-focused content, strategic branding, and audience-first engagement.

Now, I help others do the same. My focus is on amplifying your authority, building a strong personal brand, and growing your audience, so you become the go-to name in your niche.

What I do:

✅ LinkedIn Growth Strategy 
✅ Content Creation & Branding 
✅ Brand Collaborations & Campaigns 
✅ Profile Optimization

If you want to scale your LinkedIn, grow your influence, and turn your brand into a visible authority, let’s connect.

➡️ DM me or email: v.toshniwal2828@gmail.com

Always open to meaningful conversations, collaborations, and opportunities in AI, ML, and tech-driven products.

Currently seeking Tech / Machine Learning Engineer opportunities.

Vidhi Toshniwal

Your neighbour wants you to fail.
Your relative wants you to earn less.
Your boss doesn’t want you to grow.

Because your growth disrupts their balance.

So they’ll say:
“Wait.”
“Be realistic.”

Ignore the noise.

➡️ Do what you love
➡️ Upskill yourself
➡️ Ask for referrals
➡️ Follow up

There is no one fixed formula.

If you’re growing, don’t be ashamed.

Be relentless.
Keep knocking.
Someone will answer.

You’ve survived harder phases than this.

Let’s win this one too ❤️

From a cold email to a $4B AI company, yes really! 

Synthesia has now raised $200M in Series E at a $4B valuation.

It all started as a tiny AI video startup and 100+ investor rejections.

When they were almost done, one bold move changed everything: a cold email to Mark Cuban.

He replied in 5 minutes, "Intrested"
After 13 hours of conversation, he committed $1M.

Fast forward 9 years: that same company, Synthesia, just raised $200M and is redefining how work learns.

Work is changing.
Learning is changing.
And companies can’t rely on static PDFs and training decks anymore.

We’re moving toward:

➡️ AI-powered video
➡️ Conversational AI agents
➡️ Real-time, contextual learning at work

Upskilling is no longer optional.
It’s a board-level priority.

Synthesia didn’t just build AI videos.

They’re helping redefine how knowledge moves inside companies.

This isn’t just a funding round.
It’s a bet on how companies learn next.

Big signal for where AI at work is heading.

#synthesia

Synthesia

This is how I made 100 excels in one shot.

China just dropped Kimi K2.5, the best open model in history,

It’s currently the #1 used model in OpenRouter and ranks #1 in Design Arena, 

beating Gemini, Claude and ChatGPT.

It’s as good as Claude Opus4.5, 

But 8x CHEAPER!!!

This crazy new feature Agent Swarm can parallel your work 100x.

One Prompt = A 100MB Excel file generated with images. 

With a total of 55 scenes and fully cover the 10-minute story.

Prompt：
Adapt O. Henry's famous short story, 'The Gift of the Magi,' into a 10-minute short film. Generate a highly consistent storyboard script and embed it into the Excel file.

Use the membership code here to try Kimi Agent for free:

https://lnkd.in/gYzJJdv8

Hello LinkiFam 👋
This side Vidhi,Thanks for visiting my profile .
Currently pursuing 12th grade and preparing for IIT-JEE entrance exam📖 .
I believe, learning with experience that last forever so I help every deserving person to get there where they ought to be🔥.
Technology 👩‍💻excites me and I'm always in the awe of the change it drives in world🌍

I didn’t realise how many AI subscriptions I was paying for
until I tried cancelling them one by one.

I was already using way too many AI tools.
One for writing. One for images. One for videos. One for apps. One for dashboards.

At some point, I realised I was spending more time organising tools than doing real work.

Then I came across Abacus AI Deep Agent.

I watched it build an app from scratch in a few minutes.
Frontend, backend, database, logic -  everything came together on its own.

That was the first time I felt like I wasn’t “using a tool”,
I was just explaining what I wanted and watching it happen.

👉 http://deepagent.abacus.ai

Some things that stood out:

➡️ You can build full apps from one prompt
Web apps, internal tools, dashboards, and now even mobile apps.
You describe the idea, it handles the structure, backend, and data

➡️ Websites and SaaS in one flow
Landing pages, logins, payments, storage - all built together.

➡️ You can recreate complex products just by explaining them
No specs or diagrams. Just describe how it should work.

➡️ These are proper tools
CRMs, Notion-style systems, HR software, founder tools.

➡️ Micro-SaaS feels way more approachable
Ideas that felt “too much effort” suddenly feel worth trying.

➡️ Games and interactive tools show up instantly
Sudoku, simulations, small utilities.

➡️ Reports, decks, and dashboards
Upload data and get visuals and insights without setting everything up.

➡️ ChatLLM is built in
So you’re working with text, PDFs, images, videos, and code in one place.

It just changes how you think about building things.

Instead of planning for weeks,
You can actually try ideas and see where they go.

👉 Abacus AI Deep Agent
http://deepagent.abacus.ai

#ai #tech

Listening to music at full volume feels harmless.
Even powerful.
Like you’re in your own world.

But your ears are paying a price you don’t feel today.

Sign up for more health & wellness insights 👇
https://lnkd.in/evZpbd9E

Inside your inner ear are tiny hair cells.
Every loud beat makes them vibrate harder than they’re designed to.

Day after day.
Hour after hour.

They wear out.
And here’s the brutal part:

Once those cells die,
they never come back.

That’s how permanent hearing loss begins.
Quietly.
Silently.
Without warning.

Push it long enough and tinnitus follows,
a constant ringing that doesn’t switch off.
Ever.

No notification. No reset button.

Some damage doesn’t announce itself in pain.
It shows up later as regret.

Protect what you won’t get back.

Sign up for more health & wellness insights 👇
https://lnkd.in/evZpbd9E

I watched an AI agent build a production-ready app in minutes.

Frontend. Backend. Database. Logic.
Everything is connected and actually working.

Not a demo. Not a mockup. A real app you could ship.

This is Abacus AI Deep Agent an AI agent that works like a full engineering + execution team.

👉 http://deepagent.abacus.ai

Here’s what really stood out:

➡️ End-to-end apps from one prompt
UI, backend, databases, forms stitched together into something you can actually deploy.
And now mobile apps too. You can build and publish full mobile apps with Deep Agent just by describing what you want in a single prompt.

➡️ Websites and SaaS built in one flow
Landing pages, login systems, payments, and data storage - created together, not pieced apart.

➡️ Complex products recreated just by explaining them
You describe how it should look and work.
Deep Agent figures out the structure and builds it.

➡️ These are proper products
CRMs, internal tools, Notion-style systems, HR software made for real usage, not demos.

➡️ Micro-SaaS suddenly feels practical
Resume tools, niche utilities, lead magnets ideas that used to take months now feel achievable fast.

➡️ Apps and games appear instantly
Sudoku, Conway’s Game of Life, and interactive tools, ready to use as soon as they’re generated.

➡️ AI apps built around specific roles
Founder assistants, research helpers, and domain-specific AI tools.

➡️ Reports, decks, and research on demand
Charts, visuals, and structured insights put together in minutes.

➡️ Spreadsheets turned into dashboards
Upload Excel or CSV files and get metrics, explanations, and visuals automatically.

➡️ ChatLLM comes built in
Work with text, PDFs, images, videos, and code in the same place.
For founders, this changes how fast ideas can be tested.

For teams, it changes how work gets distributed.

Worth paying attention to.
👉 Abacus AI Deep Agent

 http://deepagent.abacus.ai

#ai #tech

I cancelled my $20 ChatGPT Subscription
and started using an All-in-one AI tool that's much better! because… my work didn’t fit in one place anymore.

I’d write in one place.
Generate images in another.
Make videos somewhere else.
Create presentations in another.
Build apps or prototypes in a different tab.

By the time I finished one task, I had 6–7 tabs open.

Then someone introduced me to ChatLLM by Abacus AI, and my whole workflow moved into one place.
👉 https://lnkd.in/gdrpgQnC

Here’s what made the switch stick:

1. ONE SINGLE PLACE FOR ALL AI MODELS
ChatLLM lets me switch between GPT-5.2, Claude 4.5, Gemini 3 Pro, Grok 4.1 Fast, DeepSeek, LLaMA, and more without breaking flow.

2. IMAGES & VIDEOS, WITHOUT JUMPING TOOLS
No more opening separate platforms.
Nano Banana Pro, GPT Image 1.5, Seedream 4.5, Ideogram for images.
Sora 2, VEO 3.1, Kling AI v2.6, Runway, Luma for videos.

3. FULL-STACK APPS, WEBSITES & SAAS
I describe what I want and actually see it live.
Layouts, colors, and copy are edited normally, like working with a real designer.

4. PROFESSIONAL PRESENTATIONS, INSTANTLY
Simple ideas turn into clean decks with researched content, graphs, and charts.

5. A PERSONAL AI ASSISTANT THAT WORKS IN THE BACKGROUND
Searches and tasks keep running even when I’m offline -  you come back to progress.

6. TALKING TO PDFS INSTEAD OF READING THEM
Upload a file, ask questions, get clean notes and summaries.

7. MAKING AI WRITING SOUND NORMAL
Write → click “Humanize” → choose a tone.
The output actually sounds usable.

8. REAL-TIME WEB SEARCH
Answers with sources, images, and videos - more research, less guessing.

9. ABACUS AI DEEP AGENT FOR BIGGER BUILDS
Web apps, technical reports, dashboards, micro-SaaS, workflows, websites, and now mobile apps too, built from simple prompts.

10. AN AI CODE EDITOR THAT ACTUALLY HELPS
Write, run, debug, and improve code inside Abacus AI Desktop, with proper vibe coding without the chaos.

It stopped feeling like “using AI tools.”
And started feeling like working inside an AI workspace.

If you’re paying for multiple AI subscriptions right now,
This might clean up your whole setup.
👉 https://lnkd.in/gdrpgQnC

#ai #tech

This morning, a newspaper made me pause.

Just two photos. Side by side.
No labels. No explanations.

And now we know why.

It’s the newly launched REDMI Note 15.

What stood out to me about this launch:

➡️ No exaggerated claims. Just a camera comparison.

➡️ Confidence over noise. Letting real images speak first.

➡️ Bold timing. Most brands wait for reviews, REDMI invited judgment on day one.

➡️ Familiar REDMI Note DNA. Disruptive, direct, and unafraid of comparisons.

After following the Note series for years, this approach feels intentional, and refreshing.

If details matter to you, this is your camera.

No shortcuts. Just 108 million pixels mastering your moments.

Blind test photos on print? This is such a cool way to launch a smartphone. 😎

Brand partnership • LinkedIn Growth Hacker || Marketing || Believe in Smart work || Content Creator || Believe in Opportunities

I met someone at a cafe last week.

A few days later, I couldn’t remember their last name.

And that’s when I realized something:
We meet too many people…
and remember too little.

That’s where ConnectMachine feels different.

Instead of asking me to “post more” or “stay active,”
it quietly does the remembering for me.

It knows:

➡️ who I met
➡️ where I met them
➡️ when it happened
➡️ and why the connection mattered

I don’t carry one digital identity anymore.

I share different cards for different contexts, 
founder, collaborator, private circle.

No oversharing. 
No awkward follow-ups.

When I want clarity, I just ask:

“Who are the founders in my network?”
“Who did I meet at that conference last month?”

No scrolling. No searching. 
Just answers.

Conversations stay private.

Only silent alerts, encrypted channels, and control.

Sometimes the exchange is a QR.
Sometimes AirDrop.
Sometimes straight from the lock screen.

It’s fast. It’s precise.

ConnectMachine isn’t trying to make networking louder.
It’s making it intentional.

👉 If you believe networking should be quiet but powerful,
take a look at ConnectMachine.

https://lnkd.in/gnmCvhvQ

Ananya Panday’s confidence in this film really stayed with me.

It felt thoughtful, not impulsive, and it made me reflect on my own hair care habits.

We often hydrate hair without thinking if we are even using the right ingredients ?
TRESemmé Hydra Matrix is infused with Polyglutamic Acid (PGA), an ingredient that is naturally biocompatible with hair, not borrowed from skincare.

That distinction changed my mindset.

Hydration should protect hair health over time, not just make it look good for the moment.

#TRESemmeHydraMatrix

Maharashtra just sent a strong signal to the world.

₹30 lakh crore in MoUs at Davos 2026.
Another ₹10 lakh crore already in advanced talks.

This isn’t hype.
This is execution at scale.

83% of these agreements are pure FDI from 18 countries, a clear vote of confidence in India’s most industrialized state.

A projected 40 lakh jobs.
And a rare 75% MoU-to-project conversion rate.

What stands out is not just the number, but the direction 👇

➡️ AI, Quantum Computing, Green Steel, Data Centers

➡️ Health, Fintech, Food Processing

➡️ India’s first Innovation City near Mumbai

➡️ A bold Circular Economy model to process 100% of urban waste

➡️ Balanced regional growth, from MMR to Vidarbha, Marathwada, and North Maharashtra

Global giants like Tata, Reliance, Adani, Volkswagen, Bosch, Brookfield and many more are not “exploring” anymore, they are committing.

This is how economic leadership is built:

Vision + Infrastructure + Global trust + Local impact.

Maharashtra isn’t just attracting capital.

It’s designing the future of India’s growth. 🇮🇳

This ad didn’t feel like an ad.

It felt like someone saying,
“Stop babying your phone.”

We’ve all done it.
Skipped the rain photo.
Stayed back at the beach.
Put the phone away because it felt too risky.

This one flips that habit.

No fancy setup.
No perfect phone shots.
Just showing a phone that can handle real moments, and capture them.

The camera shows up.
The durability doesn’t hide.

Quiet, confident, very REDMI Note.

You don’t feel sold to.
You just feel a little less careful.

#REDMINote15ProSeries #SimplyBetter #200MasterPixelCamera

taplio

The Battle

Dr Emmanuel Ogungbemi

Vidhi Toshniwal

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Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance

Performance ScoreVidhi Toshniwal's LinkedIn Performance

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taplio

The Battle

Dr Emmanuel Ogungbemi

Vidhi Toshniwal

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Dr Emmanuel Ogungbemi's LinkedIn Performance

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Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance