- Collaborated in a cross-functional analytics team to perform Data Wrangling, Exploratory Data Analysis (EDA), and Customer Behaviour Analysis using Python, Pandas, and NumPy on real-world E-commerce datasets. - Uncovered actionable business insights including high-refund product segments, customer purchasing behaviour, retention patterns, and revenue leakage trends to support strategic decision-making. - Designed impactful visualizations using Matplotlib and Seaborn for KPI Reporting, Sales Trend Analysis, and Refund Analytics, enabling clear business-focused storytelling. - Contributed to Business Intelligence and Data-Driven Reporting initiatives by translating complex datasets into insight-driven recommendations focused on customer experience optimization and refund reduction.