Supervision Hack 3 Winner
Led winning team in the Depo Predator Challenge, developing an advanced depot optimization system using machine learning to revolutionize logistics hub placement with 25% efficiency improvement.
Victory Moment
Celebrating the Supervision Hack 3 victory - first place in the Depo Predator Challenge
The Challenge
The Depo Predator Challenge at Supervision Hack 3 presented a complex logistics optimization problem: determining optimal locations for distribution depots to maximize delivery efficiency while minimizing operational costs.
Traditional approaches to this problem rely on intuition and basic geographic analysis, but the challenge required a data-driven solution that could handle multiple variables including demand patterns, traffic conditions, seasonal variations, and cost constraints.
Winning Solution
I led a multidisciplinary team to develop an innovative ML solution that combined several advanced techniques:
- Geospatial Machine Learning: Implemented spatial clustering algorithms to identify demand hotspots and optimal coverage areas
- Demand Forecasting: Built predictive models using historical delivery data to anticipate future logistics needs
- Multi-Objective Optimization: Developed cost functions balancing delivery speed, operational costs, and service coverage
- Real-time Simulation: Created dynamic modeling system to test different scenarios and validate solutions
Technical Implementation
- Data Processing: Cleaned and integrated multiple datasets including geographic data, traffic patterns, and historical delivery records
- Feature Engineering: Created sophisticated features capturing spatial relationships, temporal patterns, and logistical constraints
- Algorithm Development: Implemented custom optimization algorithms combining k-means clustering with genetic optimization
- Validation Framework: Built comprehensive testing suite to validate solutions against real-world scenarios
Leadership & Team Coordination
Beyond technical contribution, I served as team leader, coordinating efforts across diverse expertise areas:
- Strategic Planning: Defined project scope and allocated tasks based on team members' strengths
- Technical Architecture: Designed system architecture enabling parallel development and integration
- Presentation Leadership: Prepared and delivered winning presentation to competition judges
- Time Management: Ensured delivery within tight hackathon timeframes while maintaining quality