jas09

Developed a predictive inventory optimization model using Scikit-learn’s Random Forest Regressor, reducing stockouts by 18% and overstock by 15%. Analyzed 50k+ transactions records with Python, SQL, Pandas and Numpy, identifying seasonal trends. Fine-tuned the model with GridSearchCV, improving forecasting accuracy by 22%.

Designed a responsive, mobile-friendly UI using HTML, CSS, and JavaScript, reducing user navigation time by 25%. Built a Node.js and Express.js backend, integrating SQL – based inventory tracking. Refined UI via A/B testing, increasing user retention by 12% and Click Through Rates by 18%.