Problem Framing: Collaborated with client (the largest fast food chain in Canada) to identify and understand key pain points.

Business Impact Assessment: Researched 10-K reports to zoom in on the problem using financial analysis, identifying actionable, high-ROI opportunities.

3. End-to-End Engineering Pipeline: Built and deployed a full data science pipeline, including data preprocessing, feature engineering, machine learning model selection, hyperparameter tuning, estimation, and monitoring.