I build machine learning models and deploy data products that help organizations make smarter decisions. Skilled in Python, SQL, Power BI, and modern ML frameworks — learning Docker, Kubernetes & AWS for scalable deployments.
I transform raw datasets into predictive models and dashboards. My projects include sales forecasting (Walmart), housing price modeling, and medical diagnosis models. I deploy models with Flask/Django and create dashboards with Power BI and Plotly to make results actionable.
Pandas, NumPy, SQL, MySQL, data cleaning & ETL.
Scikit-learn, XGBoost, Random Forest, KNN, model evaluation & tuning.
Power BI, Matplotlib, Seaborn, Plotly — dashboards & storytelling.
Django, Flask, API design — model serving & simple web UIs.
Docker, Kubernetes (learning), AWS (S3, EC2), CI/CD basics.
Feature engineering, statistical testing, forecasting, time series.
Random Forest forecasting with automated preprocessing and feature engineering.
View on GitHub →RandomForestRegressor pipeline, RMSE tuning, and Flask API for live predictions.
View on GitHub →Classification study using Logistic Regression, KNN, XGBoost, and a Django dashboard for interaction.
View on GitHub →🎓 B.Sc. in Mathematics — Kanoria PG College, Jaipur
📜 Certification: Data Science & Machine Learning — Samyak Infotech
Currently learning: Docker, Kubernetes, AWS for scalable ML deployments.