Experience

Where I've worked and what I delivered.

Internships

  1. • Developed a Proof of Concept (PoC) for an AI-powered expense tracker by performing exploratory data analysis (EDA) using Python, Pandas, Matplotlib, and Seaborn to identify spending patterns and visualize key trends. • Cleaned and transformed expense data using feature engineering techniques including One-Hot Encoding (OHE), Ordinal Encoding (OE), feature scaling, and preprocessing to prepare high-quality datasets for Machine Learning models

    Sk-learnNumpyPandasMatplotlibSeabornML conceptsFeature engineering