Junior Machine Learning Engineer
CurrentWaste Management Optimization, Spearheaded a global team of 30+ members, leading the development of a data-driven waste management model that improved classification accuracy by 25%.Directed data collection, cleansing, and EDA, resulting in a 20% reduction in data processing time.Created an interactive dashboard using Streamlit and PyGWalker, enhancing decision-making efficiency by 30%.EDA Co-Team Lead, Predictive Model for Student SuccessCo-led a team of 135 data scientists in building a predictive model for student success, analyzing demographic and socio-economic data, leading to a 15% improvement in prediction accuracy.AI-Powered Malaria Prevention App, LiberiaCollaborated on an AI-powered malaria prevention app with Omdena, contributing to a enhancement in predictive capabilities.Leveraged analytical skills to provide actionable insights, supporting global health initiatives with a diverse, cross-functional team.