Currently, I am a Data Scientist at Bensh AI where I focus on applying machine learning to serve users at scale, from demand forecasting and experimentation models to building reinforcement learning systems for mobile health recommendations.

In the past, while working as a Freelance Data Scientist, I built a marketing attribution model that helped an organization focus on marketing channels that were working increasing customer growth by 2%. Additionally, I built a customer segmentation model to determine how to communicate with different customer types at The Alchemist Atelier.

I completed my Masters’ in Quantitative Economics from the Autonomous University of Barcelona and University of Paris Pantheon-Sorbonne under the Erasmus program.

I received the Erasmus Mundus scholarship grant in 2017 and was accepted to the Google Africa Developers Program in 2021. Before that, I was awarded the Outstanding Academic Accomplishment award by Dr. Bukola Saraki Foundation in 2016, NIIT scholarship in 2015 and Kingshouse Learning Center to study Computer Engineering in 2012.

My current interests are in applying machine learning to solve business problems. I particularly enjoy deploying recommendation systems, designing experiments and forecasting models to predict future outcomes.

Timeline

Feb 2023 - Sep 2024: Senior Data Scientist @ ZF Group

July 2021 - Jan 2023: Data Scientist @ benshi.ai

May 2021 - June 2021: Data Engineer @ eDreams ODIGEO

Oct 2019 - Apr 2021: Data and Business Intelligence Analyst @ The Alchemist Atelier

Dec 2020 - Jan 2021: Data Science Virtual Intern @ BCG Gamma

July 2019 - Sept 2019: Research Assistant @ Institut d’Análisi Económica (IAE CSIC)

Oct 2017 - June 2019: Quantitative Economics Master @ University of Paris Pantheon-Sorbonne and Autonomous University of Barcelona

Nov 2016 - Oct 2017: Research Assistant @ Rivers State University of Science and Technology

Oct 2014 - June 2016: Undergraduate TA & RA @ Kwara State University