Olawale Ibitoye — turning complex datasets into clear, actionable insights. Specializing in Python, SQL, Tableau, and machine learning. From football analytics to neural networks.
I'm a data analyst and AI enthusiast based in East Riding of Yorkshire, UK. My work lives at the intersection of data engineering, statistical analysis, and machine learning — taking raw, unstructured information and shaping it into decisions that matter.
From building convolutional neural networks for handwriting recognition to analyzing Women's Super League performance metrics, I thrive on diverse, challenging datasets. Every project is an opportunity to uncover patterns others might miss.
My philosophy is simple: clean data, rigorous analysis, clear storytelling. Whether it's a census study informing urban investment or a customer dataset revealing business opportunities — turn complexity into clarity.
A Convolutional Neural Network classifying handwritten digits from the MNIST dataset — powering OCR for document digitization and banking automation.
Deep dive into Women's Super League — comparing players across positions using passing metrics, PSxG, and goal contributions to build a Team of the Season.
Analyzing census data for a moderately-sized town — recommending future service investments and identifying use cases for unused land through statistical exploration.
Processing and analyzing customer records for business intelligence — identifying patterns, segmenting customers, and surfacing actionable insights with Python.