I offer end-to-end Machine Learning Model Building services to help you turn raw data into actionable insights.
Services include:
- Problem definition (classification, regression, clustering, etc.)
- Data cleaning, preprocessing, and transformation
- Model building using Scikit-learn, TensorFlow, XGBoost, etc.
- Evaluation using metrics like accuracy, F1-score, RMSE, ROC-AUC
- Feature engineering and dimensionality reduction
- Model deployment via APIs (FastAPI/Flask)
- Visualizations and summary reports
Use cases: Fraud detection, customer segmentation, predictive analytics, recommendation systems, and more.
Let’s build smart, scalable, and reliable ML solutions tailored to your needs.