Mountains and mountains I've climbed and all I've seen, Nigeria will always happen to you but it's all I've been Already Rich feat. BKAY 🐅 Full video on YouTube. Purple Doesnt Exist.

Distinction Master of Science in Artificial Intelligence and Data Science

🚨 Guess who's back? After a long hiatus, I’m finally returning to share insights, resources, and a few laughs with you all. The past year has been a wild ride—academically, professionally, and personally. Let me explain… 🧵

🚨 Think balancing a tech career and a master’s degree is impossible? Here’s how I survived—and thrived. Spoiler: It involved sleep deprivation, LOTS of coffee, and a healthy dose of automation. But along the way, I learned 5 game-changing lessons worth sharing. 🧵👇

AI tools are incredible, but they’re not magic! A few days into this project, I hit a roadblock: contradictory PnL metrics staring me in the face (see pic). Instead of giving up or blindly trusting the AI, I refined its output with domain knowledge + curiosity. The takeaway?

🚨 Your Data Work is INVISIBLE (Here’s How to Fix It) Lisa crushed deadlines✅ Built flawless models✅ Nailed every task✅ Her manager's feedback? "You lack visibility & leadership"😳 8 months later → 30% raise + promo! Here's how she did it (Steal her playbook)🧵

Another day, another opportunity. Challenge yourself, grow yourself, love yourself!

Another day, another opportunity. Embrace the unknown, chase your dreams, and make every moment count.

Average rapper: I got a big luxurious house Drake: Niggas see the crib and ask who did I steal from?

🚨 Feeling lost in the AI wave as a data professional? You're not alone. “Will AI take my job?” “Am I falling behind?” “Is learning Python still worth it?” Let’s cut through the noise—and talk about how to become irreplaceable in the age of AI. 🧵👇

In 2017, a Google team almost shelved their research because they thought it was too obvious to publish. That "obvious" paper is the only reason ChatGPT exists. Here's the actual timeline of how we got here🧵

I asked the SAME question on the SAME data. SQL: 0 rows RAG: exact answer + citations Nothing was missing. SQL just needed the *exact wording*. RAG understood the intent. This is the shift most data people are underestimating: 7 data skills that map directly to AI 🧵

SQL failed. Not because the data was missing. Because it didn’t understand the question. RAG did instantly. This changes how we query data. 2-min demo 👇 youtu.be/hu5XweKRsh8?si…

First time I pitched an AI project, I talked about embeddings for 20 minutes. My manager: "How much time does this save us?" I didn’t have an answer. Proposal died. Here’s what I learned 🧵

I spent 20 mins pitching an AI project My manager asked: "How much time does this save us?" I didn’t have an answer. Proposal died Second time: one slide. 4 lines. Approved! Same project. Same tech. Different framing Here’s the exact framework ↓ youtu.be/XmeSiUUE-cc?si…

I replaced £8,000 of manual work with ~$15 in API calls. 4,700 PDFs. 45 minutes. 96% accuracy. Published on Towards Data Science 👇 towardsdatascience.com/from-4-weeks-t… Here’s the architecture (and why GPT-5 wasn’t the answer) 🧵

Quick survey for UK data professionals: How is AI actually impacting your work? (not the hype) 2 mins. Anonymous. 👉 forms.gle/oSLEDTmvsQUYEp…

Whether you're interested in British politics or in smart data-analysis techniques, Obinna Iheanachor's data quality case study is a must-read. towardsdatascience.com/fractured-loca…

I got it wrong. A bug flipped my entire result: fragmentation didn’t rise in 66/67 councils. It rose in just 18. What actually changed? Voter churn doubled. The party system didn’t fragment. Towards Data Science towardsdatascience.com/fractured-loca… Tableau public.tableau.com/app/profile/ob…

For his latest deep dive, Obinna Iheanachor presents a data-quality case study on English local elections, covering categorical normalisation, metric validation, and why raw labels should never define analytical groups. towardsdatascience.com/fractured-loca…