Boluwatishe Laniyan

Boluwatishe Laniyan is a recent graduate of the University of Reading, where he specialised in Computer Science. During his studies, he developed a strong interest in data analysis, machine learning, and the application of technology to improve educational outcomes. For his final-year dissertation, he developed a Learning Analytics Predictive Model designed to identify students at risk of failing an academic year. The model utilised a range of data sources, including engagement data, submission timing data, and assessment data, all of which were derived from the OULAD dataset. Through this project, he applied data preprocessing, exploratory data analysis, and predictive modelling techniques to uncover patterns in student behaviour and academic performance, demonstrating how data-driven insights can support early intervention and student success.

Alongside his academic and professional interests, Boluwatishe is passionate about sports and maintaining an active lifestyle. He enjoys following and participating in football, tennis, rugby, and basketball, and is an avid gym-goer who values discipline, consistency, and personal development. These interests have helped him develop strong teamwork, resilience, and goal-setting skills, which he applies both professionally and personally.