Machine Learning Web Applications

I specialize in developing Full-Stack Machine Learning solutions that are deployed as interactive web applications. By integrating Python based models with FastAPI and frontend dashboards like Streamlit or Next.js, I turn complex data into functional tools. My experience includes building recommendation engines, sales forecasting systems, and classification models with high accuracy rates.

•Model Implementation: Proficient in Random Forest, Gradient Boosting, SVD, & NLP.

•Interactive Dashboards: Creating "What-If" simulations & real time data visualizations.

•Production Ready Pipelines: Handling data ingestion, feature engineering and model serialization.