SIWES Physical
Data Science & AI for Product
Overview
Combine data analytics and ML to drive product decisions. Covers experimentation, AI feature development, and product analytics engineering. For product-minded CS and Business students.
Duration
3 months
Format
SIWES Physical
What you'll learn
- Build end-to-end ML pipelines with Python, scikit-learn, and XGBoost
- Design and run A/B experiments and analyse statistical significance
- Apply ML to product use cases — recommendations, churn prediction, and anomaly detection
- Work with Mixpanel, Amplitude, and BigQuery for product analytics
- Deploy ML models on AWS SageMaker or Google Cloud ML and monitor for drift
- Map AI features to product OKRs — activation rate, retention, and time-to-value
- Build and present a product analytics case study with real data