I will build a ml model for classification or risk prediction

Need a machine learning model that actually works on your real-world data? I build end-to-end ML pipelines, not just scripts.

I'm an AI & ML Engineer (B.Tech CSE, AI & Robotics, VIT Chennai) with a research internship at DRDO SAG (Ministry of Defence, Govt. of India). I've built:

• Credit risk classifier: 93% accuracy (XGBoost)
• Fraud detection pipeline: ROC-AUC > 0.90 with SMOTE
• Disease prediction system: 97.22% accuracy
• Presented research at the International Conference ICIPRRDAC '25

What I deliver:

1. Classification, regression & risk models
2. Full EDA & data preprocessing
3. Model comparison (Logistic Reg, RF, XGBoost, SVM)
4. Feature importance & model explainability
5. Imbalanced data handling (SMOTE, class weighting)
6. Evaluation report: Accuracy, F1, ROC-AUC, Recall
7. Clean, documented Python source code

Use cases: fraud detection, credit scoring, churn prediction, medical diagnosis, and customer segmentation.

Tools: Python, Scikit-Learn, XGBoost, Pandas, Matplotlib

Message me first, I'll review your dataset and confirm the best model approach before you place your order.