Ebere Oyek (Nelo) — Data | AI | ML
Creator sharing role/skills breakdowns for Data/Analytics Engineers (dbt, Spark, Airflow, warehousing) and industry tips.
Turn Learning Into Projects to Cement Knowledge
If you keep forgetting what you learn, you’re not building. Try this instead: * Build a resume analyzer using an LLM API * Create a chatbot for a niche (real estate, fitness, etc.) * Automate a boring task with Zapier + AI * Enter Kaggle beginner competitions Projects lock knowledge in.
Experience = Exposure, Not Years—Prove Your Problem‑solving
“2+ years experience required” doesn’t mean: Go away. It means: Show me proof you can solve real problems. Experience isn’t time. It’s exposure.
Practice Bridges the Gap Between Knowing and Doing
The gap between “I get it” and “I can do it” is practice. Most people never close it.
Free Tech Learning Stack: Consistency Beats Talent
Beginner in tech? Don’t waste time guessing. Here’s a free learning stack: 1. CS basics → CS50 (Harvard – free on YouTube) 2. Frontend → The Odin Project 3. Backend → freeCodeCamp APIs course 4. Data → Kaggle (free datasets...
Start Your Tech Career with Free Resources
If you want to break into tech but don’t know where to start, start here: • Learn tech fundamentals → freecodecamp.org • Understand Git & GitHub → try.github.io • Practice coding → leetcode.com • Learn design basics → canva.com/designschool •...
Trust, Not Tech, Is AI Adoption’s Biggest Barrier
One of the biggest bottlenecks for AI adoption is trust. According to Business.com’s 2026 AI Outlook Report, 45% of small business workers worry too much AI will hurt their reputation. 30% fake enthusiasm about it at work. The real barrier to AI adoption...
Healthcare Workers: Start Easy Tech Projects with Real Impact
If you work in healthcare and want to explore tech start here. 3 beginner-friendly projects: • Patient satisfaction insights • Smart inventory tracking • No-show prediction No heavy coding. Real problems. Clear impact. Projects > vibes.
Scattered Data, Repetitive Tasks, Unused Tools? Adopt AI Now
3 signs your business needed AI yesterday: • Data is scattered • Tasks are repetitive • You’re paying for tools you don’t use
Choose Tech Wisely: Ask These Six Critical Questions
A lot of business owners don’t fail at Tech & AI they fail at choosing the right tech. Before you spend money, ask: – Does it solve a real problem? – Can I learn it fast? – Does it integrate with my tools? – Can it...
Act Now: Build Early, Stop Overthinking, Use AI
Advice I needed at 22: • Build earlier • Stop overthinking • Pick one path • Use AI, don’t fear it • Show your work You don’t need more time. You need more action.
Plan Your Q2 AI Gains for Real Impact
What are you going to do with all the Access AI has provided in Q2?
Build with What You Know, Not What to Learn
Stop asking “what should I learn next?” Start asking “what can I build with what I already know?”
AI's Greatest Impact: Expanding Accessibility over Productivity
I saw on TikTok that AI's biggest impact might not be productivity but accessibility and I couldn't agree more.
AI Unlocks Financial Insight—Verify, Protect, and Decide
One of the biggest benefits of AI is access. If you've ever wanted deeper insights into your finances but didn't have the visibility here's one way to work around it. But remember: AI is experimental. It can hallucinate numbers. Always review the...
Upskilling Is a Cyclical Trial‑Error Journey
Upskilling isn’t linear. It looks like: Try → Fail → Fix → Understand → Repeat
Claude's New Features Power Real‑World AI Projects
Claude has been dropping new features. Here are 3 projects you can build with them right now: ✨ Competitor Pricing Tracker ✨ Weekly KPI Report Generator ✨ AI Sales Call Prep Assistant If you use Claude, what are you building?
Leaders Must Embrace Continuous Learning to Stay Effective
One of the most important skills, even as a leader, is the ability to keep learning because no one knows it all.
Action, Visibility, Repetition, Community: Keys to Leadership
👇🏾 1. Action builds Confidence 2. The world rewards the visible 3. Repetition is how mastery is born 4. Imposter Syndrome never goes away. 5. People are the real asset 6. Community matters more than anything. 7. Leadership is all about sacrifice.
AI Hardware Is the Hot Opportunity Right Now
Friendly reminder: follow where the opportunities are. Right now, the AI hardware space is especially interesting to watch.
Master SQL Early: It Becomes Your Core Tool
I didn’t prioritize SQL early on, I thought it was easy and not that important. I was wrong. It became the language I used the most in data. Practice your queries.
AI Fails without Clean, Documented, Owned Data
Most companies experimenting with AI are not struggling with models. They’re struggling with: – messy internal data – inconsistent schemas – no documentation – no data ownership You can’t plug OpenAI into chaos and expect magic. Data hygiene is important for AI.
AI Should Augment, Not Replace Human Thinking
Someone on LinkedIn said there is a big difference between using AI as a tool and using it to do the thinking, and I completely agree.
Test Ideas First: Build Minimum Viable Projects
Building projects isn’t just about learning. It’s about testing the waters. Before you commit — build. In product: MVPs. In growth: experiments. For your skills? Minimum viable projects.
Free Datasets + LLM Queries on Snowflake, BigQuery
Snowflake and BigQuery have free datasets you can use to practice SQL with real data. Even better: LLMs are integrated, so you can query in natural language.
Stop Fearing Projects; Just Start Building
Advice I’d give to someone afraid of building projects if I wasn’t afraid of hurting their feelings. 👇🏾
Business Owners Need AI Literacy, Not Expertise
Business owners: you don’t need to be AI experts just know enough to ask the right questions. AI Literacy is different from AI expertise.
Success Requires Years of Unseen Struggle and Persistence
The “overnight success” you admire? It took: – 2 years of unpaid learning – 17 rejected applications – Countless unfinished projects We see the launch. We don’t see the loneliness. Stay long enough. Your time will come.
Women Pioneers Driving Ethical AI, Vision, and Robotics
Some Women who have shaped Tech, Data & AI • Fei-Fei Li : Accelerated breakthroughs in computer vision and modern AI. • Joy Buolamwini : known for exposing bias in facial recognition systems. • Cynthia Breazeal : A pioneer in social...
Turn Data Projects Into Portfolio‑Ready Workflows
Imagine a place where you could: • Pick a data project • Follow a structured workflow • Build something real • Add it straight to your portfolio That's the direction we're exploring.
Natural Language Joins Still Feel Confusing for Beginners
Yesterday I showed someone how to join tables in Snowflake using natural language no SQL required. And she still said it was hard and confusing.
AI Writes SQL, but Fundamentals Lift Your Ceiling
Yes, AI can write the SQL. But do you understand: * Why that join works? * Why that model makes sense? * Why that metric matters? AI lowers the barrier. Foundations raise your ceiling.
Kickstart Your Data Career with Our Free Guide
Aspiring Data Processionals Excel, SQL and PBI are great tools to build projects with. If you're completely confused, start with my Guide 👇🏾 https://tekdlin.com/data-analytics-guide/
Data Compliance for B2B SaaS: Navigating Hidden Complexity
Yesterday I was talking with another founder about ensuring their B2B SaaS product is data compliant. There’s so much complexity behind meeting required standards.
Data Quality & Governance: Underrated Foundations Beyond Analytics
Data Quality and Data Governance are two of the most underrated but important areas in the data space There are other areas to explore in data outside of Analytics.
Four Data‑Backed Tech Fields to Pursue in 2026
I did some digging with the help of ChatGPT and Claude Here are 4 tech areas you can still explore in 2026 backed by data: • AI/ML – Data Analytics falls here • Cloud & Infrastructure • Security & Governance • Data Engineering Let me...
Start with Excel, SQL, Power BI for Analytics
Aspiring Data Analyst? Don’t overcomplicate it. Start building projects with tools like Excel, SQL, and Power BI.
Analytics: The Easiest Gateway Into Tech Careers
As a CS girlie, I started my journey in Analytics and to this day, I still believe it has one of the lowest barriers to entry into a career in tech. The barrier has never been lower. If you’re thinking about...
New Tech, Data, AI Roles Shaping the Last Five Years
Job titles that have emerged in Tech, Data and AI the last 5 years: 👇
