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

I am excited to share a valuable resource: SQL Practice 1!

This comprehensive guide provides 24 practical SQL queries to help you enhance your database management and query-writing skills. 

Perfect for students, professionals, and anyone looking to deepen their SQL knowledge, this document covers a wide range of scenarios using single table queries, aggregation, and group by statements.

Key topics include:
- Displaying specific columns and rows
- Using DISTINCT to remove duplicates
- Filtering data with WHERE and LIKE clauses
- Aggregating data with SUM, COUNT, MAX, and MIN functions
- Grouping data with GROUP BY and HAVING clauses
- Joining tables and using subqueries


Enhance your SQL skills and become proficient in writing efficient and effective queries with this practical guide!

- Repost to share with others
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- Add your comment!

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

SQL Practise

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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- 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

7 Toxic Comparison Traps to Avoid 🛑

Feeling stuck in your progress? Read this (by Dr Dupe Burgess).

1.	The Success Timeline Trap
↳ Comparing yourself to others' timelines.
↳ Frustrates and undermines your unique journey.
↳ Focus on personal growth, celebrate small wins.

2.	The Job Title Obsession Trap
↳ Titles don’t define your value or success.
↳ Obsession hurts self-esteem and growth.
↳ Focus on impact, not titles.

3.	The Salary Showdown Trap
↳ Constantly comparing salaries leads to frustration.
↳ Overlooks job satisfaction and personal growth.
↳ Consider fulfilment, not just the paycheck.

4.	The Achievement Highlight Reel Trap
↳ Social media shows wins, hides struggles.
↳ Creates unrealistic expectations of your journey.
↳ Acknowledge hard work behind every success.

5.	The “Dream Job” Fantasy Trap
↳ Comparing your job to someone’s "dream job."
↳ Leads to dissatisfaction and stagnation.
↳ Find purpose in your current role.

6.	The Speed of Success Trap
↳ Feeling slow while others succeed fast.
↳ Creates anxiety and feelings of inadequacy.
↳ Focus on your own growth pace.

7.	The Skill Set Envy Trap
↳ Envying others’ abilities limits your growth.
↳ Leads to inadequacy and low productivity.
↳ Focus on strengths, collaborate with others.

________________________________________

Stop comparing, start focusing on your growth today.

♻ Repost to help others avoid comparison traps!
🔔 Follow Emmanuel Ogungbemi for more personal growth insights.

7 toxics

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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- Save to revisit down the road
- 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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Python Basics

Cloud Computing Tutorial

In a crowd of opinions, the softest voices often carry the deepest insights.

This message, inspired by Dora Vanourek, truly resonates.

Here’s what introverts wish leaders said in meetings:
(and a few things not to say):

✅ "Let's take a moment to think this through."
↳ Introverts need time to process before speaking.
↳ This approach gives everyone a chance to reflect.
↳ It leads to more thoughtful and meaningful input.

✅ "If you have further thoughts, email them to me."
↳ Introverts often think of their best ideas later.
↳ Written communication can be more comfortable.
↳ Ensures valuable insights aren't missed after the meeting.

✅ "We'll discuss XYZ next time. Bring your ideas."
↳ Provides time for introverts to prepare and reflect.
↳ Encourages thoughtful contributions in future discussions.
↳ Boosts confidence in sharing ideas during the meeting.

❌ "You are so quiet today."
↳ Quietness doesn’t mean disengagement.
↳ Comments like this can feel judgmental.
↳ It’s better to appreciate different communication styles.

❌ "Try to be more outgoing in meetings."
↳ Suggests their natural style is wrong.
↳ Not everyone is comfortable speaking on the spot.
↳ Emphasizes extroverted behavior as the standard.

❌ "Everyone share a fun fact about themselves!"
↳ Personal sharing can be uncomfortable.
↳ Introverts may feel stressed or pressured.
↳ Creates anxiety rather than fostering connection.

True leaders don’t just listen to the loudest voices.
They create space for those who often go unheard.

Respecting different communication styles fuels collaboration.
Let’s build inclusive cultures where everyone thrives.

How do you ensure all voices are heard in your meetings? 
Let me know in the comments👇

♻️ Repost to support introverts in the workplace.
➕ Follow Emmanuel Ogungbemi for more leadership and workplace insights.

intovets

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.
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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

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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- Add your comment!

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

Documentaries offer more than just entertainment
- they expand your thinking, connect dots, and help you approach life like the top 1%.

They dive into real-world experiences, 
providing actionable lessons that can reshape how you approach work, money, and life.

Here are 7 binge-worthy documentaries that will change the way you think:

1️. The Mind Explained
↳ Discover how your brain processes emotions and memories.
↳ Learn the science behind decision-making and behaviour.
↳ Unlock techniques to boost your mental potential.

2️. The Social Dilemma
↳ Understand how social media manipulates your behaviour.
↳ Learn the psychology behind your screen habits.
↳ Explore ways to regain control of your online life.

3️. Working: What We Do All Day
↳ Gain insights into different professions and career paths.
↳ Explore how people find meaning and purpose in their work.
↳ Learn how to apply purpose-driven work principles in your career.

4️. The Playbook: A Coach’s Rules for Life
↳ Learn life-changing leadership lessons from top coaches.
↳ Discover how resilience plays a key role in success.
↳ Get actionable strategies for overcoming adversity.

5️. Get Smart With Money
↳ Master the basics of financial literacy and wealth-building.
↳ Discover strategies for budgeting and saving.
↳ Learn how to make your money work for you.

6️. The Minimalists
↳ Understand the philosophy behind minimalism and intentional living.
↳ Learn how to declutter your life and focus on what matters.
↳ Explore how simplifying your life can lead to greater happiness.

7️. Inside Bill’s Brain
↳ Dive into the habits of one of the world’s most brilliant thinkers.
↳ Learn how Bill Gates tackles complex global challenges.
↳ Explore his approach to solving problems and innovating.

What’s your go-to documentary for personal growth?
Let me know in the comments! ⬇️

Thanks to César Solís for this inspiring list!
—
I'm Emmanuel Ogungbemi, a Data Engineering SME passionate about leveraging data for impactful change.

♻️ Repost if you found this helpful!
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7 Netflix Documentaries You Need To Watch

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? 
 
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How do you balance data science's technical and strategic demands in your career? 
 
Stay tuned for more myths busted and tips shared.  
 
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Some Power BI interview questions for an analyst interview :

1. What is Power BI, and how do you use it?

2. How do you connect to data sources in Power BI?

3. What is a measure in Power BI, and how do you create one?

4. What are the differences between calculated columns and measures in Power BI?

5. Can you explain the concept of drill-through in Power BI and give an example?

6. How do you create a dashboard in Power BI, and what are the best practices?

7. How do you use Power Query in Power BI to clean and transform data?

8. What is DAX, and how do you use it in Power BI?

9. Can you explain the difference between a table and a matrix visual in Power BI?

10. How do you use Power BI to create a report that updates automatically based on new dataset? 

11. How do you share your reports and dashboards with others in Power BI?

12. How do you handle large datasets in Power BI?

13. Can you give an example of a complex data model you have built in Power BI?

14. How do you handle data refreshes in Power BI, and what options are available?

15. How do you handle security and permissions in Power BI?

16. What are some limitations of Power BI, and how would you work around them?

17. Can you explain the difference between calculated columns and measures in Power BI?

18. How do you create a drill-through report in Power BI?

19. How do you create a custom visualization in Power BI?

20. How do you optimize the performance of a Power BI report?

21. Can you explain the difference between DirectQuery and Import modes in Power BI?

Common ETL Pipeline Mistakes Every Data Engineer Should Avoid! 

As a seasoned vet in data engineering, I've noticed that even the pros sometimes stumble over the same hurdles when crafting ETL pipelines.

Here's how to avoid those pitfalls and elevate your data workflows:

1. Data Quality Checks: DON'T SKIP!
Missing these can seriously affect your results. To maintain its accuracy, validate your data relentlessly.

2. Scalability is Key
Failing to plan for growth will eventually clog up your pipeline. Always design with expansion in mind to keep things running smoothly.

3. Monitoring & Alerting:
Implement monitoring tools and set alerts to catch and squash bugs as soon as possible.

4. Keep Transformations Simple
Complications aren't always better. Aim for sleek, simple transformations to avoid unnecessary headaches.

5. Documentation is your Best Friend
Don't leave your team guessing. Clear, comprehensive documentation saves time and sanity.

By dodging these common errors, you're on your way to creating top-notch, robust ETL pipelines that stand the test of time.

Remember, perfection is a journey. Keep refining your craft and embracing the ever-changing data landscape.

Your thoughts? What other blunders should we watch out for in ETL development?

Let's share our wisdom and grow together!

Ferenc Fekete

Helping non-tech Founders transform Ideas into SaaS products @ VeryCreatives | Product Agency, SaaS & MVP Development | Startups

I've watched many startup founders fail at the same exact point: turning their validated idea into actual software.

They waste months (or even years):
→ Trying to hire the right developers
→ Burning cash on poor planning and execution
→ Second-guessing every technical decision along the way

Meanwhile, competitors move faster, investors demand traction, and the pressure to deliver keeps building more and more.

After watching this pattern destroy countless promising startups, we built VeryCreatives to fix it.

But here's what makes us different:

We don't just build your MVP and disappear. We're product people who think like founders, not just developers who code to spec.

👉 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We start by pressure-testing your assumptions before writing a single line of code. If the market doesn't want it, we'll tell you straight.

👉 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗿𝗼𝗺 𝗱𝗮𝘆 𝗼𝗻𝗲: We build like it's our own startup, obsessing over user experience, scalability, and investor readiness from the first sprint.

👉 𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗲𝘅𝗶𝘁 𝗮𝗻𝗱 𝗯𝗲𝘆𝗼𝗻𝗱: Whether you're at napkin sketch or Series B, we've been there. We've helped founders go from zero to acquisition, and we stick around for the entire journey.

For the past 14 years, we've built products for venture-backed startups, fast-growing scale-ups, and globally recognized brands like Red Bull, Nestlé, and Philips.

The startups we work with have:
✅ Launched investor-ready MVPs in under 90 days
✅ Secured funding from top-tier investors and VCs
✅ Scaled from first users to thousands of paying customers
✅ Successfully exited to strategic acquirers

Got a SaaS idea that's been sitting in your head for months? 
Let's map out your 90-day path to launch → https://verycreatives.com/book-a-call

Co-Founder

At VeryCreatives, we are a team of expert developers who create powerful SaaS apps that solve problems and drive growth for founders with initial funding. We believe in empowering our clients with innovative software that helps them achieve their goals and stand out in their industry.

Our audience consists of driven and ambitious founders who have just received initial funding for their startup. They are looking for a software development partner who understands their vision, can help bring their ideas to life, and deliver results that will help them achieve their business goals.

Founders with initial funding have a pressing need to build their product quickly and efficiently to maximize their chances of success. At VeryCreatives, we understand this need and are dedicated to creating high-quality SaaS apps that not only meet their requirements but also exceed their expectations. We are committed to delivering value and results that help our clients succeed.

VeryCreatives stands out in the market for our ability to deliver high-quality, innovative solutions that meet the needs of our clients. Our unique approach to software development, coupled with our expertise and commitment to excellence, is what drives us to provide outstanding results to our clients.

Industries our clients operate in, using the SaaS products we've built: 
- Digital marketing, Event marketing & Influencer marketing SaaS
- Foodtech & Delivery 
- Fintech, Banking & Investments
- 2-sided marketplace platforms
- Agriculture & Livestock management
- Packaging compliance & Waste

Markets we cover: UAE, EU, UK, US.

Your product isn't the problem. Your budget split is.

I've built countless SaaS products and apps over the past decade for some of the biggest brands in the world. Here's the biggest mistake I see first-time SaaS founders make that kills their product:

They map out their entire product budget... and allocate 100% of it to development.

They're planning to build the full product, launch it, then HOPE customers show up.

But the problem is, a good product is only 50% of the equation. The other half is getting it in front of the right people (which costs a lot of money too).

Especially in B2B, you'll need to spend some cash to speed up your learning curve and learn:

👉 Which channels work
👉 What messages resonate
👉 What makes your ideal customers actually convert

Some founders ignore this until it's too late. And by that time, they've burned through their development budget and launched something that MIGHT be great without anyone actually knowing it exists.

That's why whenever we work with clients, we often help them adjust the product scope before building anything out. Because we want to free up budget for marketing, user acquisition, and proper positioning so they can actually get customers and scale the business.

You could have the best product in the world. But if nobody knows it exists, it won't mean a thing.

Before you finalize your budget, ask yourself:

What's my plan to get 100 people to see this?

Helping startup founders & innovation labs validate and scale ideas into exit-ready products @ VeryCreatives | 🔥 Two decades in tech

You created your own bad developers.

I have seen this pattern too many times.

Founder says:

"My devs are slow"
"They do not get it"

Then we look closer.

And see a decision vacuum the team is trying to survive.

There are three calls only you can make as the founder.

If you dodge them, even a strong team will look useless:


👉 Decision 1: Who is our primary user right now?

One founder I worked with tried to serve agencies and tiny solo founders at the same time.

Sales promised custom features to big accounts, product built self serve onboarding for tiny ones, devs got whiplash.

Nine months of work, nobody truly happy.


👉 Decision 2: What is the next business outcome we are willing to bet on?

MRR from a segment, activation rate, expansion from existing customers.

If this is not written down, every feature feels urgent.

You ship a lot of stuff and still cannot answer why revenue or usage is flat.


👉 Decision 3: What constraints are non negotiable?

Time, budget, compliance, integrations.

If these move every week, scope will quietly double and your v1 will arrive six months late.


Which of these three have you been dodging?

Most failed software projects don't fail at the finish line.

They fail in week 2, when the team realizes the core feature can't actually be built.

That's why one of the smartest things you can do as a SaaS founder, before writing a single line of code, is build a proof of concept.

Not a full product or MVP. Just enough to answer one question: "Can we actually build this thing?"

We've gone through this exact process hundreds of times for both our clients and our own internal tools.

Here's how it works:

👉 Proof of Concept (PoC): Does this work technically?

This is where you test your riskiest assumption. Can it even be built the way you imagine? It's not going to be pretty, and it's not public-facing. But it's real.

Skip this, and you're three months into development before realizing your AI feature needs data you can't legally access.

👉 Prototype: What will it look and feel like?

Map the user flow, add just enough UI to walk someone through it, and start shaping the product experience.

Skip this, and your dev team builds something technically correct that no user can figure out how to use.

👉 MVP: Will people actually use and pay for it?

Now you're testing the market. You've built something lean and functional to prove there's demand and that your positioning makes sense.

Skip this, and you spend 18 months perfecting a product nobody asked for.

A good proof of concept helps you spot technical roadblocks early and gives stakeholders the confidence that your idea is real.

It's faster (and cheaper) to find the cracks now than to rebuild everything later.

What's the riskiest technical assumption you've had to validate before building?

Your first 10 customers are friends.

Your next 100 are stress tests.

Most MVPs crack right there.

And it's rarely the thing you're watching for.

Not because of one big bug.

Because of 4 invisible gaps almost every founder forgets:


1. Role and permission basics

A single login is fine at the very start.

Then a bigger account asks "Can my team have different access levels?"

If the answer is no, that deal quietly dies.

👉 By month 6, if you don't have this, you'll start losing deals you never knew you lost.


2. Bulk actions for power users

Clicking one by one feels fine with 10 records.

At 1,000, people hate your product.

They will export to Excel and never come back.

👉 By month 6, if you don't have bulk edit or export, your power users are already halfway out the door.


3. Password reset that does not melt support

In the early days, you just "help people manually."

At 150 accounts, your inbox turns into "I cannot log in" hell.

👉 By month 3, if you don't have a clean self-service reset flow, your support load will bury your roadmap.


4. An internal admin tool

If every tiny change needs a developer, your roadmap will stall.

You cannot build new features and play support at the same time.

👉 By month 9, if you don't have a simple internal panel, your engineers are stuck doing data cleanup instead of shipping.


Audit your stack against this list. What's missing?

I Spent 6 Months Building a Product Nobody Wanted. Then Buffer Launched for $5.

Around 2010, we worked at a media agency.

We saw the chaos every day: social media posts bouncing between marketing, legal, and clients. Approvals lost in email threads. Deadlines missed.

So we decided to build the solution ourselves.

We went all in:

• Multi-tenant account management
• Multi-platform posting (Facebook, Twitter)
• Custom approval workflows
• Notifications, previews, media library
• Analytics dashboard
• Unified posting interface

Six months of nights and weekends. Thousands of lines of code.

We never talked to a single customer.

We thought we knew exactly what agencies needed. We worked in one. We lived the problem.

That was the trap.

While we were perfecting our approval flow logic, Buffer launched with a single post scheduler and a $5 beta signup.

They validated demand before building anything else.

We validated nothing. We just built.

Here's what I learned the hard way:

👉 Working in an industry doesn't mean you understand the market

Your experience is one data point. Not a business case.

👉 Features don't prove demand

Nobody cares about your feature list if they never asked for it.

👉 Skipping customer development is not a shortcut

It's the longest, most expensive path to failure.

The product died quietly. No dramatic crash. Just silence.

If you're building something right now, ask yourself:

Have I talked to 10 people who would pay for this?

If the answer is no, close your IDE and pick up the phone.

taplio

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Dr Emmanuel Ogungbemi

Ferenc Fekete

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taplio

The Battle

Dr Emmanuel Ogungbemi

Ferenc Fekete

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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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