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.
Like this project
0
Posted Dec 14, 2024
Boosted operational efficiency by 50% for a leading food chain (Starbucks equivalent) through end-to-end solutions: Consulting, ROI Assessment, and Engineering.