AI Pharmacy Recommendation System (academic project)
Created and evaluated features and predictive outputs for an AI Pharmacy Recommendation System as part of an academic project workflow. Used Python-based preprocessing and model evaluation steps to assess performance and iterate toward better results. • Performed preprocessing and exploratory data analysis (EDA) to understand the dataset • Conducted feature engineering to improve model inputs • Trained and evaluated models using Python • Focused on quality of evaluation through performance assessment