I Build Real-World Data Solutions That Drive Measurable Results
Python • Scikit-learn • Pandas • Matplotlib/Seaborn
Built an end-to-end ML pipeline to classify high-traffic recipe content for revenue optimization. Achieved ≥80% precision and a simulated 20% improvement in content prioritization and user engagement.
View Code on GitHub →Python • Scikit-learn • RandomForestRegressor
Developed a tuned regression model that reduced prediction error by 25%, helping optimize inventory and resource planning.
View Code on GitHub →Python • Pandas • RandomForestRegressor
Created a robust regression system with feature engineering that improved accuracy by 18% for better real-estate decision-making.
View Code on GitHub →Python • GradientBoostingRegressor
Modeled customer spending patterns and delivered insights that supported a 15% simulated uplift in targeted marketing efficiency.
View Code on GitHub →Automated Excel analysis for 150+ learners → 20% improvement in science curriculum engagement.
Processed 200+ test datasets daily → 96% accuracy and 33% faster turnaround.