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Zerve × ODSC AI Datathon | Virtual

Event artwork for Zerve × ODSC AI Datathon | Virtual

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About this event

What to expect

Transform raw behavioral data into actionable product insights and compete for a $10,000 prize pool — this virtual Datathon brings together intermediate-to-advanced data practitioners to tackle real-world challenges using live AI workspace data. Unlike traditional hackathons that focus on building software, this event puts analysis and insight extraction at the forefront, giving you 24 hours to demonstrate your data engineering and analytical prowess.

What Makes This Datathon Unique

You won't be working with sanitized toy datasets. Instead, you'll dive into authentic event data from a live AI-native workspace, including user interactions, technical metadata, and session activity at scale. The challenge mirrors real product analytics work: bridging the gap between raw activity logs and the structured insights that drive product decisions. This is your opportunity to showcase feature engineering skills, statistical reasoning, and analytical rigor on data that matters.

The Challenge

Modern applications generate millions of events daily, but raw logs alone don't inform strategy. Your task is to design meaningful signals from behavioral data, engineer features that reveal user patterns, and communicate your analytical framework clearly. Judging focuses on methodology and insight quality — demonstrating a rigorous approach matters more than achieving perfect predictions through black-box methods.

Prize Pool & Benefits

$10,000 in prizes await top performers, including cash awards, Zerve platform credits, and speaking opportunities at ODSC conferences. All participants gain access to the AI Expo and ODSC AI East Conference Demo talks, expanding your network within the data science community.

Technical Requirements

This event targets data professionals comfortable with:

  • Python or R for data manipulation and analysis
  • Pandas/SQL for data wrangling at scale
  • Feature engineering concepts and statistical reasoning
  • Jupyter/notebook environments for exploratory work

Zerve provides a collaborative cloud notebook environment supporting Python, R, and SQL. You'll receive a one-click starter repository with sample data loaders, notebook scaffolding, and submission helpers — enabling you to focus on analysis rather than configuration.

Format & Participation

This 24-hour virtual event welcomes both solo participants and teams of up to four members. Remote participants receive full access to the Zerve cloud pl

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