I will build and deploy your machine learning model

I build end-to-end machine learning solutions from raw data to a working, deployable model.

What I deliver:

• Data cleaning, feature engineering, and exploratory analysis
• Model selection and benchmarking (XGBoost, Random Forest, Logistic Regression) with clear metric comparisons
• Handling of imbalanced data (SMOTE, class weighting) where relevant
• A trained model with a documented performance report (precision, recall, F1, ROC-AUC)
• Optional: REST API deployment (FastAPI) so your model is callable from your own app

Recent work:

I built a flight-delay prediction system using XGBoost and deployed it via FastAPI, and a customer churn model using SMOTE and PostgreSQL to handle severely imbalanced data.

Send me your dataset and prediction goal before ordering, and I'll confirm the right approach fits your case.