Projects
RetailX Data Analytics: Revenue Insights & Visualization
Cleaned & transformed RetailX sales data, performed revenue and return analysis using Python, and built visualizations & strategy recommendations for optimized business growth.
- Cleaned & transformed RetailX sales data (removed duplicates, handled missing values, fixed formats) to prepare analysis-ready dataset.
- Performed revenue & return analysis using Python (EDA, KPI tracking, correlation) to identify top-performing regions, categories & payment-return trends.
- Built visualizations & SWOT-based strategy recommendations to highlight growth opportunities, reduce return rates & support revenue optimization.
Loan Default Risk Analysis
End-to-end analysis of loan default risk with data cleaning, exploratory data analysis, visualizations, and machine learning based prediction.
- Analyzed 32,000+ loan records to uncover default risk factors using statistical tests & EDA.
- Built a predictive model with feature engineering & ML (Random Forest, 97% accuracy, 91% recall on defaulters).
- Delivered actionable insights on age, income, interest rates & loan grade, helping optimize loan approval & minimize risk.
- Designed interactive visuals & a presentation to communicate findings clearly to stakeholders.
Capstone Dry Eye Disease Project
In-depth analysis of Dry Eye Disease using patient history, sleep, and lifestyle data to uncover trends and risk factors. A data-driven medical insight project using Excel and MySQL.
- Transformed raw patient data into strategic insights, uncovering lifestyle-driven risk factors for Dry Eye Disease using advanced analytics.
- Pioneered data-driven visual narratives to bridge clinical understanding and patient outcomes, enhancing diagnostic precision.
- Delivered a 360° analysis of DED triggers, empowering preventive care strategies through predictive modeling and symptom mapping.
