Analyzed Flipkart data to boost shopping sales turnout insights.
Abhijeet Parashar
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Data Visualizer
ML Engineer
Data Analyst
GitHub
Jupyter Notebook
Python
- 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.
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Posted May 20, 2024
Cleaned Flipkart's data, fixed inconsistencies with Pandas, analyzed trends with NumPy, visualized insights with Matplotlib aiding e-commerce decisions.
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Data Visualizer
ML Engineer
Data Analyst
GitHub
Jupyter Notebook
Python
Abhijeet Parashar
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