Hourly ride demand forecasting (weather + calendar) — NOVA IMS ML Bachelor's project
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Updated
Oct 9, 2025 - Jupyter Notebook
Hourly ride demand forecasting (weather + calendar) — NOVA IMS ML Bachelor's project
Business Process Optimization for Super Trend – from AS-IS to TO-BE models using Bizagi Modeler. Implemented simulation, analysis and redesign to improve delivery efficiency and ROI through Zoho One system integration.
Customer segmentation for ABCDEats using advanced clustering (K-Means, SOM, Hierarchical) — NOVA IMS Data Mining 24/25
Customer segmentation for Ready, Steady Ride using K-Means (k=4) across weather, behavior and time perspectives - NOVA IMS ML project
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