1. Engaged in four capstone projects which involved application of a range of data science techniques, including data preprocessing, exploratory data analysis (EDA), data visualization, data manipulation, machine learning model development, hyperparameter tuning, and convolutional neural networks (CNN).2. Participated in a live client project to create a predictive model for inventory forecasting, enabling the client to meet Just-In-Time (JIT) standards.