• Performed data cleaning, preprocessing, and transformation on large datasets using Python (Pandas, NumPy). • Conducted Exploratory Data Analysis (EDA) to uncover patterns, correlations, and business insights. • Developed visualizations using Matplotlib and Seaborn to effectively communicate analytical results. • Wrote SQL queries to extract, analyze, and manipulate data from relational databases. • Assisted in developing machine learning models for predictive analysis and customer behavior insights. • Created data reports and dashboards to support data-driven decision making.