Product initiatives and data projects that delivered measurable impact
Prioritized feedback using sentiment + rating logic and stored it in DynamoDB via Lambda.
Manual feedback processing was time-consuming and inconsistent.
Built automated system with sentiment analysis and priority scoring.
Reduced processing time by 75% and improved response accuracy.
Built serverless resume website with visitor counter using AWS Lambda, DynamoDB, and CloudFront.
Needed to demonstrate cloud architecture skills with a practical project.
Created full-stack serverless application with CI/CD pipeline.
Successfully deployed scalable, cost-effective portfolio website.
Machine learning model with 95% accuracy to predict customer churn using telecom data.
High customer churn rates were impacting revenue growth.
Built Random Forest model with feature engineering and validation.
Achieved 95% accuracy and identified key churn indicators.