Title: Research Assistant (ML) Managed research on the impact of sentiment analysis on recommender systems and generate insights to help the team create a trustworthy and accurate recommender system.

Title: Research Assistant (ML) • Create and deploy a predictive maintenance tool that predicts the Remaining Useful Life ( RUL ) of an aircraft turbofan engine. This is so as to enable proper planning in a way that cuts downtime hence preventing loss of money. • Create and deploy a web application that predicts the possibility of Alzheimer's Disease in an MRI scan of a patient. This is to allow for a quick diagnosis of the disease. • Skills used: SQL, Data Collection, Machine Learning ( Time Series Forecasting), Deep Learning ( Computer Vision), Data Analysis, ML-OPs, Git, Critical thinking, Analytical Problem Solving. Achievements • Designed and created a model inference that predicts Alzheimer's Disease with an accuracy of 90%

Title: Machine Learning Trainer • Designed the module for the course. • Tutored 100+ students in a Data Science with Python course. • Skills used: Machine Learning, Data analysis, ML-OPs, Git, Critical thinking, Analytical Problem-solving, Communication Skills, Leadership Skills. Achievements • Managed to retain and guide over 80% of the students into completing the course.

Title: Machine Learning Trainer • Created and implemented the lesson plans for the Data Science Course. • Taught 20+ students the various data science concepts. • Skills used: Machine Learning, Data analysis, ML-OPs, Git, Critical thinking, Analytical Problem-solving, Communication Skills, Leadership Skills. Achievements • Managed to retain and guide over 90% of the students into completing the course.

Learnt and deployed several projects using Amazon EC2 and Heroku

Among the best students in the class

Achieved Second Class Honors (Upper Division) Was part of a school football team that won several university sports competitions.