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'm excited to share an invaluable resource: the Data Engineer Interview Guide by Simplilearn!

Preparing for a data engineering interview can be daunting, but this comprehensive guide has got you covered. 

Whether you are a fresh graduate or an experienced professional, this document provides a detailed overview of the key questions and answers you can expect in a data engineering interview.

Key topics include:
- Understanding the role and responsibilities of a data engineer
- Differences between data engineers and data scientists
- Key skills required for data engineering, including SQL, Hadoop, and Python
- Essential frameworks and applications for data engineers
- Commonly asked interview questions and how to answer them
- Practical tips for handling job-related crises and real-world scenarios
- Insights into data modelling, ETL processes, and working with big data in cloud environments


Enhance your interview preparation and stand out from the competition with this detailed guide!

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Talks about #data, #kindness, #interviewtips, #selfimprovement, and #careertransition

Data Engineering Intro

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

I am excited to share a comprehensive resource: Machine Learning, Deep Learning, and Artificial Intelligence Cheat Sheets compiled by Nikhil Yadav from Stanford University and MIT!

This collection of cheat sheets covers key concepts and techniques across machine learning, deep learning, and AI. 

Perfect for students, professionals, and enthusiasts, this document provides quick references and summaries of essential topics in these fields.

Key topics include:
- Probability and Statistics fundamentals
- Supervised and Unsupervised Learning algorithms
- Linear and Logistic Regression
- Support Vector Machines (SVM) and Generative Learning
- Tree-based and Ensemble Methods
- Principal Component Analysis (PCA) and other dimension reduction techniques
- Neural Networks, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs)
- Reinforcement Learning and Control
- Essential metrics for model evaluation and selection
- Tips and tricks for effective machine learning practice


Enhance your understanding and mastery of machine learning, deep learning, and AI with these detailed cheat sheets!

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ML, Deep Learning and AI Cheat Sheet

SQL Introduction Handnotes

Excited to share an essential resource: DAX Query Plans by Alberto Ferrari!

This comprehensive paper introduces the performance analysis and optimization of DAX code through the use of DAX query plans. 

Ideal for BI professionals and data analysts, this document provides valuable insights into improving query performance by understanding and optimizing DAX queries.

Key topics include:
- Finding and interpreting DAX query plans
- Differences between logical and physical query plans
- Overview of the formula engine and storage engine
- Basic optimization techniques for DAX queries
- Practical examples using the Contoso and AdventureWorks databases


Enhance your DAX skills and improve query performance with this detailed guide!

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DAX Query Plans

Why data engineers are like the unsung heroes of the tech world – and why you should become one.

Ever wondered what makes the tech world tick?

It’s not just the flashy apps or cutting-edge AI.
It’s the data engineers behind the scenes, making everything work smoothly.

Here’s why they’re the real MVPs:

1. Foundation Builders

Data engineers lay the groundwork for any data-driven project.

Without them, data scientists and analysts would be flying blind.

They create robust data pipelines that ensure seamless data flow – the backbone of every tech solution.

2. Problem Solvers

Every day brings a new challenge.

From fragmented data sources to integrating complex systems, data engineers thrive on solving intricate puzzles.

Their work is crucial for turning raw data into actionable insights.

3. Innovation Enablers

The world’s first AI system for air traffic control?

That’s just one example.

Data engineers make groundbreaking innovations possible by ensuring data is clean, reliable, and ready for analysis.

4. Guardians of Data Integrity

Data is valuable, but only if it’s accurate.

Data engineers ensure quality and consistency, protecting organisations from costly errors.

They’re the gatekeepers of trustworthy data.

5. Educators and Mentors

Building the future doesn’t stop at technology.

Data engineers also shape the next generation of tech talent, sharing their knowledge and experience with aspiring professionals.

So, why should you consider becoming a data engineer?
→ It’s a role that combines creativity and technical skill.
→ There’s an evergrowing demand for data-driven solutions.
→ You’ll be at the forefront of innovation, where every project is an opportunity to make a significant impact.

Join the ranks of these unsung heroes and be part of a community that drives the tech world forward.

Are you ready to build the future?

Let’s discuss why data engineering should be your next step.

Drop a comment below to share your thoughts or ask questions about this exciting field.

The real secret to becoming a data professional isn't technical skills—it's storytelling.

Here's how narrative trumps numbers.

When I first entered the world of data, I was captivated by the endless possibilities that numbers could unlock.

But soon, I realised something crucial: data alone doesn't speak.

It's the story you weave around it that truly makes an impact.

Let me explain how you can harness the power of storytelling in data:

1. Understand Your Audience
  ↳ Tailor your narrative to resonate with the specific needs and interests of your audience.
  Whether you're speaking to executives or data enthusiasts, adjust your story accordingly.

2. Find the Human Element
  ↳ Data is ultimately about people.
  By highlighting the human impact, you make your insights relatable and actionable.

3. Create a Compelling Narrative Arc
  ↳ Like any good story, your data-driven narrative should have a clear beginning, middle, and end.
  Start with the problem, introduce the data, and conclude with actionable insights.

4. Simplify Complex Data
  ↳ Great storytelling involves breaking down complex data into understandable and engaging segments.
  Use visuals and analogies to make your points clear.

5. Inspire Action
  ↳ Your story should lead to a call to action, encouraging your audience to make informed decisions based on your insights.
  
Remember, data storytelling isn't just about presenting facts—it's about driving change.

By mastering the art of storytelling in data, you transform from a mere analyst to an influential data storyteller.

And the best part?

Anyone can learn this skill.

So, are you ready to craft stories that drive data-driven decisions?

Start weaving your narrative today.

Data degrees are great, but here’s why data engineering skills might just be the game-changer you need.

In a world overflowing with data, what’s the biggest challenge?

Turning it into something valuable.

That’s where a data engineer steps in.

Here’s why mastering data engineering skills can outshine a traditional data science degree in today’s job market:

1. Demand for Data Engineers is Soaring

→ Companies need robust data pipelines and clean data before they can even start analysing.

↳ Without data engineers, data scientists can’t do their jobs effectively.

2. HandsOn Problem Solving

→ Data engineering focuses on building and optimising data systems.

↳ You’ll deal with realworld data challenges and provide solutions that have immediate impacts.

3. Versatile Skill Set

→ From coding and database management to understanding cloud services, data engineering equips you with a wide array of skills.

↳ It’s about the whole data ecosystem, not just analysis.

4. Foundation for Advanced Data Exploration

→ Before models can be trained, data must be prepped and organised.

↳ This means your work sets the stage for any advanced data science application.

5. Bridge the Gap Between Theory and Practice

→ While data science often leans towards theoretical aspects, engineering is grounded in practical application.

↳ You’re not just predicting the future; you’re building the road to it.

6. CostEffective Learning

→ You can learn data engineering through online courses, handson projects, and bootcamps.

↳ No need for a hefty degree investment.

7. Innovation at the Core

→ Data engineers are the architects of the digital age, creating systems that allow companies to innovate and grow.

↳ You’re paving the way for future technologies.

So, if you’re weighing options between a degree and diving into data engineering, consider what aligns with the current industry needs.

The world needs more data engineers.

Are you ready to be one?

Engage with me in the comments if you’re considering a career shift or just starting out in data engineering.

What’s your next step?

Excited to share an insightful resource: MLlib: Scalable Machine Learning on Spark by Xiangrui Meng and collaborators!

This comprehensive guide explores the powerful capabilities of MLlib, Spark's scalable machine learning library.

It covers everything from basic algorithms to advanced machine learning techniques, making it an essential resource for data scientists and engineers looking to leverage Spark for large-scale data processing and analysis.

Key topics include:
- Overview of MLlib and its integration with Apache Spark
- Machine learning algorithms: classification, regression, clustering, and collaborative filtering
- Practical examples and implementations of logistic regression, k-means clustering, and ALS
- Performance comparisons and scaling properties of MLlib
- New features and updates in MLlib v1.x
- Integration with other Spark components like Spark SQL, Streaming, and GraphX


Unlock the full potential of machine learning with MLlib on Spark and take your data projects to the next level!

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Why I believe the future of data engineering lies not in new tech but in teaching empathy and communication.

I started in data engineering with the belief that the latest tech would solve every problem.

That mindset shifted.

Here's why: it's not just about the tools.

It's about understanding the humans behind the data.

In my journey from data analyst to data engineering leader, I've learned that the hardest problems aren't technical.

They're human.

When I was tasked with transforming raw data into insights, I quickly realised that many organisations were drowning in fragmented data.

Not because they lacked technology, but because they lacked communication.

→ Data was siloed.

→ Teams didn't talk to each other.

→ Processes were inefficient.

So I focused on:

1. Building Bridges: I brought together diverse teams, ensuring everyone understood the data's value and purpose.

2. Teaching Empathy: I encouraged my team to see data not just as numbers but as stories with human impact.

3. Enhancing Communication: I led efforts to develop clear channels and languages for data discussions, making complex insights accessible to all.

It wasn’t just about algorithms.

It was about collaboration.

About understanding the fears and hopes of those who rely on the system.

When we embrace empathy and communication, we transform data from a static resource into a dynamic force for change.

We give it life.

The future of data engineering won't be about the flashiest tools.

It will be about the human touch.

So here's my challenge to you:

Focus on the human side of data.

Ask more questions.

Listen more.

Let's build a future where data brings us together, not keeps us apart.

What do you think?

How can we make data engineering more human?

Share your thoughts below.

Jeremy Prasetyo

TRUSTBYTES (Techstars Web3 '25)

Smart Treasury for Internet Capital Markets (ICM)

TRUSTBYTES turns behavioural analytics into capital efficiency for wallet-based businesses.
‍
☑ Capture opportunities
☑ Comply effortlessly
☑ Command your crypto treasury operations

We believe that internet/institutional capital markets (ICM) should be proactive, not reactive.
‍
In 24/7 crypto markets, your treasury, compliance and operation teams can't be awake around the clock fighting fires.
While traditional finance sleeps, crypto never does.
Why losing money on idle capital, failing compliance checks, and burning out their teams with manual processes, when there is a different way?
‍
The cost of inaction is measured in Billions per month.

We replace static rules with intelligent, dynamic policies.

Instead of threshold-based systems that trigger alerts at 3:11 AM, we use predictive intelligence to:

☑ Anticipate liquidity needs before they become urgent
☑ Automatically rebalance wallets during the most optimal time windows
☑ Maintain compliance ratios proactively, not reactively
☑ Transform your existing wallet infrastructure into a smart, learning system 

TRUSTBYTES works 24/7 so your team doesn't have to.

CEO & Co-Founder

QUIP - Quantum Technologies at Fraunhofer ITWM

Mentor

Keynote Speaker to National and International Audiences

Jeremy is able to tailor short talks, long presentations or workshops for any specific audience whether the focus is to inspire to perform and outperform, break patterns to innovate, empower leadership, increase sales or overall business. As a high-performance trainer, he presents his ideas extracted from interviews and individual coachings with industry icons, world champions and thought leaders of multiple disciplines with eye-opening facts, humor and easy-to-follow, practical concepts and applications that any audience member can immediately apply and achieve results.

Personal and Professional Performance Specialist

Diverse Organizations, incl. NobleProg, Innolea, Letuja, DOSB, DTV, ADTV, Masai, etc.

Trainings and Workshops on Artificial Intelligence, Business Applications, Cybersecurity, Leadership, Communication, Sales & Marketing

Independent Trainer

AI Strategy Consulting 

Innolea Institute

Mentor for post-graduate studies “Certified AI Consultant”

LETUJA GmbH

Linkfluence - a Meltwater company

AI-enabled consumer intelligence for global brands

+ Enterprise AI SaaS solution used by 200+ global brands for Trend Detection, Consumer Tribes segmentation/profiling or Brand Equity tracking in Real-time.
Key customers include Nike, Danone, General Mills, Estée Lauder, Kering, LVMH, Porsche, Toyota,...

+ Built and managed a team of professionals including Key Account Management, Business Development, Marketing, and Demand Generation to successfully meet and exceed sales targets and corporate goals

+ Designed and owned a strategic plan to grow the account portfolio and acquire new logos aligned with the company’s vision and roadmap

+ Collaborated with product, insights, and solution teams to improve customer experience
Developed and implemented a comprehensive demand generation strategy including Account-Based-Marketing, resulting in acquiring new global enterprise organizations

+ Conducted market research and developed a comprehensive competitive intelligence strategy to fuel repositioning with a new Go-To-Market

Vice President of Sales and Marketing

Blockpool

Business advisory for Blockchain Startups

European Blockchain Expert

E-Learning Startup

Our company is a next-generation ecosystem made up of a leading education platform for people in AI, Blockchain and Cryptocurrency, combined with a powerful marketing platform with a comprehensive set of tools for independent business owners.
The ecosystem is continuously expanding, subsuming new technologies, products and services in order to offer a one-stop space for those dedicated to learning and growing.

Jeremy's philosophy of education and self-empowerment is woven into the fabric of the company. As CEO and co-founder, Jeremy was taking the start-up from a compelling idea to a truly global company. Serving over 32,000 entrepreneurs, and powered by Blockchain and AI technology, it is enabling a new generation of learners and independent business owners within a single ecosystem of EdTech Platform and integrated Apps.

CEO and Co-Founder

World Champion turned Cyberpreneur | Building an AI SaaS company to $1M ARR and sharing my insights along the way | Co-Founder & CEO, TRUSTBYTES

While everyone's talking about AI, the Agentic Web and Web3,
few understand how to turn them into competitive advantage, 
even fewer into institutional advantage.
That's where I come in.

I'm a former World Champion turned Tech Founder and Emerging Technology Strategist who decodes tomorrow's tech for today's leaders. 
Through my unique ability to break down complex technologies into actionable strategies, I help organizations transform uncertainty into opportunity.

As CEO of TRUSTBYTES and an internationally recognized keynote speaker, I bridge the gap between cutting-edge innovation and real-world implementation. 

My expertise spans:

→ Emerging Tech Translation
- Transforming AI and blockchain complexities into clear strategic advantages
- Converting technological uncertainty into market-leading opportunities
- Building innovation flywheels that compound over time

→ Leadership Acceleration
- Mentoring the next generation of tech-savvy leaders
- Guiding institutional transformation with practical frameworks
- Creating bridges between legacy systems and emerging technologies

→ Strategic Innovation
- Designing AI-driven business flywheels that scale
- Developing institutional-grade technology strategies
- Engineering frameworks for sustainable growth

Through high-impact keynotes, executive mentorship, and hands-on leadership, I empower decision-makers to turn technological complexity into market dominance. 

My approach merges deep technical insight with battle-tested business acumen, helping organizations thrive in rapid change.

Tech moves fast.
Markets move faster.
But institutional transformation?
That's where most leaders get stuck.
I'm here to change the game.

Follow me for actionable insights on emerging tech, leadership, and exponential growth. 

Let's build tomorrow's advantages today.

FIGHTING CYBERCRIME LIKE IT'S 2030
Find more bugs in less time while saving up to 80% of cybersecurity resources.

HOW IT WORKS
TRUSTBYTES secures exponential technologies like Web 3.0, AI or Quantum TECH with its advanced AI that delivers unparalleled accuracy. By deploying self-learning AI agent swarms that adapt to evolving threats we protect systems with superior vulnerability detection and mitigation.

THE PROBLEM
$8 Trillion in Damages
Cybercrime Damages did cost the world $8 trillion USD in 2023.
Until now, global cybercrime costs grew by 15 percent each year.
But this number will grow exponentially, as hackers start using AI or even Quantum TECH.

Threat to Humanity
Warren Buffett calls cybercrime the biggest problem facing humanity - a threat exceeding nuclear weapons.
The answer lies in fighting fire with fire through AI counterforce.
TRUSTBYTES is that enabler for CISOs - an advanced AI system augmenting human experts to proactively remediate cyber threats before damage occurs.

OUR SOLUTION - SECURING EXPONENTIAL TECHNOLOGIES

➝ Web 3.0 - Smart Contract Auditing Suite

➝ Securing AI Systems

➝ Securing the Quantum TECH era


For more details visit: trustbytes.io

Nobody's betting on you - until you make it impossible not to.⤵


1/
➠ You don’t get funded. You get noticed.

➝ Markkula wasn’t hunting startups.
➝ Jobs hounded his way into a meeting.
↳ 150 calls to Valentine forced the door open.

➝ Most founders wait to be discovered.
➝ The bold demand to be seen.
↳ Obsession always beats talent waiting quietly.

➝ Investors chase proof of belief.
➝ Hustle is the first product.
↳ Persistence is louder than pitch decks.


2/
➠ The garage wasn’t a liability. It was proof.

➝ They had traction - six stores already.
➝ Apple II wasn’t vaporware.
↳ Launch was close enough to taste.

➝ Resource-starved but progress-rich.
➝ Not built to impress.
↳ Built to ship.

➝ The myth: start perfect.
➝ The truth: start moving.
↳ Results raise eyebrows, not resumes.


3/
➠ Markkula didn’t just invest - he calculated.

➝ $90K seed at $300K valuation = serious skin.
➝ Asked for a $250K credit line.
↳ 10% interest. Paid post-revenue.

➝ Investors protect upside.
➝ Smart money isn’t charity.
↳ Terms matter as much as dollars.

➝ Founders focused on “enough.”
➝ Markkula focused on “what’s next.”
↳ He knew scale eats capital.


4/
➠ The pitch didn’t win the day. The look did.

➝ “I’ve seen that look. I had it myself.”
➝ Markkula bet on the fire.
↳ No spreadsheet for conviction.

➝ Investors sense belief.
➝ They smell desperation.
↳ Vision makes you unforgettable.


5/
➠ Build something that makes “no” look stupid.

➝ No one believed in Apple.
➝ Until one man saw the future.
↳ Then everyone saw it.

➝ Don’t just get in the room.
➝ Make the room remember you.
↳ That’s how legends are built.


Think it through...

▶ What if they never made those 150 calls?
▶ What if the garage was enough?
▶ What if no one said yes?


That's the mindset you have to have.
That's the mindset we as founders are adopting at TRUSTBYTES (Techstars '25).

Let's go! 🚀 


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World Champion turned Entrepreneur | Follow me for emerging tech, leadership and growth topics | Co-Founder & CEO, TRUSTBYTES (Techstars '25)

Unpopular opinion:
Work should fit into Life - not consume it.
⤵

You’ve been sold a lie.
"Work harder. Hustle longer. Sacrifice now."

But here’s the truth:
You don’t get a trophy for burning out.

Work is a tool - not your identity.
It belongs inside your life, not wrapped around it.

 
1/
➠ When Work Becomes Life

When work takes over, life gets boxed in.
➝ Rest feels wrong
↳ You see it as lazy

➝ Loved ones feel intrusive
↳ You call it "distractions"

➝ Joy gets postponed
↳ Always chasing the next win

You’re not fulfilled.
You’re just drained.


2/
➠ When Life Is Bigger Than Work

Now flip it.
Make life the frame. Let work sit inside it.

➝ You still care about work
↳ But not at life’s expense

➝ You rest, recharge
↳ And show up sharper

➝ You celebrate wins
↳ With people who matter

You’re no longer sacrificing.
You’re thriving with clarity.


3/
➠ Why This Matters More Than Ever

Everything changes fast.
Your title isn’t forever. Your wellbeing should be.

➝ Careers shift
↳ Roles vanish

➝ Companies change
↳ Titles fade

➝ Health, peace, love
↳ That’s the real legacy

Invest in what actually lasts.


4/
➠ Two Simple Power Moves

Don't overthink balance.
Build it into your daily routine.

➝ Guard your "Life anchors"
↳ Treat them as sacred meetings

➝ Create a daily work stop
↳ Define your off switch

Discipline in boundaries
creates freedom in life.


Final Thought:
Work is part of your life.
Not the point of your life.

If your life is a circle,
Make sure work isn’t the whole thing.

▶ What if burnout is self-inflicted?
▶ What if rest is the cheat code?
▶ What if “balance” isn’t soft, but strategic?

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Growth happens in the space between who you are
and the person you were meant to be.
 ⤵

Before anything else, here’s the angle most people miss:

You’re not competing with the world.
You’re competing with the next version of you.

And that competitor never gets tired...

That’s why the chase matters more than the milestone.

That's what Matthew McConaughey knew well an led to more than "just" an Oscar win:


1/
➠ The future self that never stops moving

 ➝ Your hero stays ten years ahead
 ↳ Always further
 ↳ Always better
 ↳ Always out of reach

We start here because this is the foundation: the future version of you isn’t a trophy. It’s a target that refuses to stand still.


2/
➠ Time reshapes who you want to become

 ➝ Growth shifts your definition of “ideal”
 ↳ New standards
 ↳ New clarity
 ↳ New goals

And as time moves, so do you.
Your definition of “better” evolves because you evolve.


3/
➠ Self-reflection keeps you honest

 ➝ Checking progress reveals the truth
 ↳ What’s working
 ↳ What’s missing
 ↳ What’s next

This is where the internal audit comes in.
No sugar-coating. 
No excuses. 
Just a clear view of where you stand.


4/
➠ The unattainable target is the useful one

 ➝ You’re not meant to catch your hero
 ↳ It stretches you
 ↳ It humbles you
 ↳ It disciplines you

The point isn’t arrival.
The point is pursuit.
The chase creates the growth.


5/
➠ Who you chase shapes who you become

 ➝ Aim at a version worth becoming
 ↳ More aligned
 ↳ More intentional
 ↳ More fulfilled

Because in the end, the future you becomes the architect of your present decisions.
And that’s where real transformation happens.


The standards of your future self
slowly become the standards of your current life.

If the person you were meant to be is still ahead of you,
what does that demand from you today?


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8 Small Shifts That Will Solve 80% Of Your Problems
⤵


Sometimes, we look for big solutions when it’s the small tweaks that unlock the biggest doors.


These shifts aren’t radical. 
They’re practical. 
And that’s why they work.


Let’s break them down - one shift at a time:


1/
➠ Assume People Have Good Intentions
➝ You can’t read minds
↳ So stop acting like you can

➝ Bad assumptions drain peace
↳ Good ones open connection

➝ Choose belief over suspicion
↳ It hurts less


2/
➠ Avoid Using Negative Words
➝ “I can’t” is mental trash
↳ Stop repeating failure

➝ Language programs mindset
↳ Every word counts

➝ Talk trash - live trash
↳ You’re better than that


3/
➠ Celebrate More Frequently
➝ Wins deserve space
↳ Big or small

➝ Acknowledge before you rush
↳ Growth needs pause

➝ Clap for yourself
↳ Even quietly


4/
➠ Decide You Must Achieve Your Goals
➝ “I’ll try” gives you a backdoor
↳ Close it

➝ Use “I must” instead
↳ Power lives there

➝ Remove wriggle space
↳ Clarity follows


5/
➠ Define “Failure” as “Failing to Take Action”
➝ No action = real failure
↳ Movement matters

➝ You control effort
↳ Not outcome

➝ Stop fearing results
↳ Start moving


6/
➠ Don’t Waste Energy on Hate
➝ Hate is self-harm
↳ Drains your life

➝ Fix it or drop it
↳ No middle

➝ Forgive. Forget. Move.
↳ Heal faster


7/
➠ Don’t Take Yourself So Seriously
➝ Laugh at yourself
↳ Or others will

➝ Humor builds influence
↳ People follow lightness

➝ Lighten up
↳ Power lives here


8/
➠ Don’t Try to Win Every Argument
➝ Not every battle is worth it
↳ Let some go

➝ “Winning” is ego
↳ Choose strategy

➝ Ask what’s next
↳ Then lead


Big shifts start small.
Start here. Start now.


▶ What shift have you avoided the longest?
▶ What would change if you only applied one?
▶ What would happen if you applied all eight?


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