Moses Chika

Built, evaluated, and improved machine learning models on structured datasets to enhance predictive performance. Translated analytical findings into insights that supported data-driven decisions. Designed preprocessing pipelines that improved data quality, consistency, and modeling efficiency. Collaborated with cross-functional AI teams to deliver applied data science solutions.

Developed and optimized machine learning models using modern ML techniques. Applied robust validation strategies to assess generalization on unseen data. Implemented ensemble methods to improve model accuracy and reliability.