Track: Data Science & Analytics · Topic: Data Science
Questions (pick one when you register)
- P01 — Insurance FNOL Claims Triage (BFSI)
- P02 — Cold-Chain Excursion Risk (Life Sciences)
- P03 — Warehouse Pick Congestion (Retail / 3PL)
- P04 — SPC Batch Rejection Warning (Manufacturing)
- P05 — EV Charging Dwell-Time (Energy / Mobility)
- P06 — Sterile Supply Forecasting (Healthcare Ops)
- P07 — Subcontractor Milestone Slip (Construction)
- P08 — Pipe Burst Risk Scoring (Utilities)
- P09 — Hotel Housekeeping Load (Hospitality)
- P10 — Irrigation Zone Optimization (AgTech)
Learning & preparation
# Learning & Preparation ## Databricks Free Edition 1. Create an account at the Databricks Free Edition page. 2. Open a workspace notebook (Python / SQL / PySpark). 3. Upload a small CSV and confirm you can read it. 4. Build one simple visualization before event day. ## Official links - Databricks Learning hub - Databricks Documentation - Notebooks guide ## Practice Use the sample campus SLA problem in Guidance to rehearse Bronze → Silver → Gold, a simple risk score, and a judge-friendly dashboard.
Participant guidelines
# Participant Guidelines ## Team rules - Teams of 2–4 students. One problem per team. - Every member needs a name and email. Team lead email is unique per event. - Registration must be approved before submission. ## Deliverables - Solution ZIP (notebooks, scripts, README) - Project webpage URL - Dashboard URL - Optional MLflow experiment URL ## Integrity - Original work only. Cite external datasets and libraries. - AI tools may be used as assistants; the solution and demo must be your team's. ## Evaluation - Judging uses a private rubric visible only to organizers and platform admins. - If AI-assisted screening is enabled, it only **suggests** a shortlist; humans confirm awards.
Evaluation rubric
Judging uses a private rubric visible only to organizers and platform admins. Organizers confirm all shortlists and awards.