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Careers & SkillsOctober 11, 2026

Most Analytics Bugs Are Data Bugs. Five Checks That Catch Them Before the Meeting.

Five validation checks every analyst should run before trusting a table: duplicates, NULL key columns, out-of-range values, cross-field arithmetic, orphan references. Tested on a 2,010-row orders table with 50 planted defects; the checks flagged 51 rows, and the misses are as instructive as the catches.

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🤖Agentic AI12 articles📊ML & Data Science18 articles🌍AI in Africa13 articles💼Careers & Skills12 articles🔬Research Digest14 articles
Explainer

MCP, Explained for Data People: It Standardizes the Plumbing, Not the Thinking

Ibrahim Denis Fofanah·9 min

Analysis

The Battle for the Agentic Interface: Meta Muse, OpenAI Dots and Grok Bot

Rodriquez Allen·9 min

Tutorial

Build a RAG System That Knows When It Doesn't Know

Rodriquez Allen·8 min

ML & Data Science

All articles →
Deep Dive

Gradient Boosting Still Rules Tabular Data. The Foundation Models Are Gaining Ground.

Ibrahim Denis Fofanah·13 min

Benchmark Watch

pandas vs Polars vs DuckDB on 3.5 Million Taxi Rides. DuckDB Won Every Query, and the Timings Were the Least Interesting Part.

Ibrahim Denis Fofanah·6 min

Tutorial

Your Retry Worked. That Is How You Got Two Rows.

Ibrahim Denis Fofanah·8 min

Research Digest

All papers →
arXiv Breakdown

RAG Systems Collapse When They Retrieve Their Own Writing. One Self-Authored Document Can Start It.

Ibrahim Denis Fofanah·6 min

Research Brief

Agent Reflection Does Not Beat a Retry. The Numbers From 16,946 Trials.

Ibrahim Denis Fofanah·7 min

arXiv Breakdown

Quantizing Half the Attention Hurt. Quantizing Both Paths Barely Did.

Ibrahim Denis Fofanah·12 min

Most read

  1. Google's AI Tutor Raised Maths Scores in Sierra Leone. It Raised Them Most for Students Who Were Already Ahead.Ibrahim Denis Fofanah · 12 min
  2. AnalysisExcel or Python First? What Data Analyst Job Postings Actually SayIbrahim Denis Fofanah · 5 min
  3. Deep DiveThe Agent Revolution Is Here, and Most Organizations Are Not ReadyIbrahim Denis Fofanah · 7 min
  4. Benchmark WatchSame Model, Same Benchmark: 54.8% or 99.9% Depending on the HarnessIbrahim Denis Fofanah · 9 min
  5. AnalysisBrain Waves to Words: What Brain2Qwerty Actually Does, and What It Doesn'tIbrahim Denis Fofanah · 6 min

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Africa AI Spotlight

Building Intelligent Systems for the World's Fastest-Growing Markets

Africa is not just adopting AI, it's inventing new architectures for low-resource languages, unreliable infrastructure, and mobile-first contexts. Everyday Data Science brings you the stories nobody else is covering.

Ibrahim Denis Fofanah

Ibrahim Denis Fofanah

Data Scientist & AI Researcher

Agentic AIAfrica TechBook AuthorMS Data Science

From the Editor

Why I Built This, and Who It's For

I'm a data scientist and AI researcher at Pace University's Seidenberg School, and founder of the Rise Africa Foundation for STEM and Innovation in Sierra Leone. My research keeps circling one question: what happens to the people a system doesn't see? That question produced Artificial Frictional Unemployment, the finding that automated hiring systems reject qualified people not for lack of skill, but because of how algorithms read them (arXiv:2601.14534). And it produced the first machine learning model for crop yield prediction in Sierra Leone, where a country plans its food security largely blind, not because the technology is hard, but because nobody had built it (arXiv:2606.13959). I'm also the author of Understanding Agentic AI. I started Everyday Data Science because I got tired of reading AI writing by people who don't build things. Everything here is meant to be usable, and honest about what doesn't work, including my own results.