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Olusola Timothy Ogundepo

Hello, I'm Olusola! ๐Ÿ‘‹

I'm a data scientist with over 5 years of experience turning complex data into actionable insights. Currently pursuing my Master's in Mathematical Sciences at AIMS Rwanda, where I dive deep into the mathematical foundations of machine learning and statistical theory.

What drives me? The intersection of rigorous mathematics and real-world problem-solving. I believe in understanding not just how algorithms work, but why they workโ€”and when they don't.

My Journey

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Academic Excellence

Graduated as the top student in Computer Science Education at University of Ilorin (2023), earning academic excellence honours. Now advancing my knowledge at the prestigious African Institute for Mathematical Sciences in Rwanda.

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Research Focus

My work bridges statistical machine learning, theoretical statistics, and computational theory. I'm particularly fascinated by understanding the mathematical guarantees and limitations underlying modern AI systems.

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Community Impact

Beyond research, I'm passionate about knowledge sharing. I actively mentor aspiring data scientists, facilitate workshops, and participate in AI forumsโ€”believing that collaboration accelerates innovation.

Education & Certifications

๐Ÿฅ‡ Top Graduate

University of Ilorin

B.Sc. (Ed.) in Computer Science

Ilorin, Nigeria·2018 – 2023

Best Graduating Student in the Department of Computer Science and Education

Algorithms & Data Structures Artificial Intelligence Operating Systems Computer Architecture Object-Oriented Programming

Project Deep Learning for Personalised Book Recommendation System: combined collaborative filtering with transformer architectures, with thorough data quality checks on the BookCrossing dataset and iterative model experimentation.

View project on GitHub
Top 5

ALX-T Data Analyst Nanodegree โ€“ Udacity

Completed 2022

Among the top 5 candidates who successfully completed all projects on schedule

Data Wrangling Statistical Analysis Data Visualisation

Project Student Performance Evaluation: investigated drivers of student outcomes, extracting 29 key indicators from over 600 features and using multivariate visualisation to examine the effect of parental engagement.

View project on GitHub

Let's Connect

I'm always open to discussing data science, research collaborations, or opportunities to mentor.