Analyzed Flipkart data to boost shopping sales turnout insights.

- Conducted thorough data cleanup on Flipkart’s product data using Python, ensuring data integrity.

- Utilized Pandas for identifying and rectifying inconsistencies and handling missing values.

- Analyzed product categories, pricing strategies, customer ratings, and sales performance using NumPy and SciPy.

- Identified key trends and customer preferences, such as popular product categories and optimal price points.

- Created visual representations of data trends using Matplotlib and Seaborn, including bar charts, line graphs, and heatmaps.

- Demonstrated ability to turn raw data into meaningful insights, aiding strategic decision-making in retail and e-commerce.