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) 🧵

We're thrilled to welcome Obinna Iheanachor to TDS! Click below to explore his comprehensive walkthrough on designing a streamlined, rapid document-extraction system. towardsdatascience.com/from-4-weeks-t…

Follow along Obinna Iheanachor's thorough project walkthrough to learn how a hybrid PyMuPDF + GPT-4 Vision pipeline replaced £8,000 in manual engineering effort, and why the latest models weren’t the answer. towardsdatascience.com/from-4-weeks-t…

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…