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Details

This is a Free event, but Pre-Registration is REQUIRED.
RSVP here - https://luma.com/b40p37eo

## The Ultimate Test for Data Practitioners

Transform raw behavioral data from a live AI-native workspace into structured product insights. $10,000 Prize Pool.

Modern applications generate millions of events, but raw logs don’t make decisions - people do. The real challenge is bridging the gap between activity logs and actionable product insight.
In this 24-hour datathon, you won't be playing with "toy" datasets. You will get under the hood of a live AI-native workspace, working with large-scale event data including user interactions, technical metadata, and session activity.

Why Join?

  • Real Product Data: Authentic signals from a live environment.
  • Feature Engineering: Design your own signals from raw behavioral data.
  • Insight-Driven Judging: We value methodology and rigor over "black box" luck.
  • $10,000 in Prizes: Including cash, Zerve credits, and ODSC speaking slots.
  • Access AI Expo and ODSC AI East Conference Demo talks - https://odsc.ai/east/

Schedule is on the event page - https://luma.com/b40p37eo

Prerequisite Checklist
This challenge is for intermediate-to-advanced data practitioners. Here's what you should be comfortable with:

  • Python or R for data manipulation
  • Pandas / SQL for data wrangling
  • Feature engineering concepts
  • Basic statistical reasoning
  • Jupyter / notebook environments

One-Click Starter Repo
Clone our GitHub template with sample data loaders, notebook scaffolding, and submission helpers — start analyzing in minutes, not hours - [https://github.com/ ](https://github.com/)

Who Should Attend?
This challenge is designed for intermediate-to-advanced data professionals comfortable with:

  • Python or R for data manipulation.
  • Pandas / SQL for heavy lifting and wrangling.
  • Jupyter / Notebook environments.
  • Feature Engineering and statistical reasoning.

FAQ:

> What makes a Datathon different from a Hackathon? While a hackathon focuses on building software, a Datathon focuses on the "Why." You are evaluated on your ability to extract insights, perform rigorous feature engineering, and communicate a clear analytical framework.

> Can I participate virtually? Yes! This is a hybrid event. Remote participants have full access to the Zerve cloud platform, digital mentorship, and the submission portal.

> What tools will I use? Zerve provides a collaborative cloud notebook environment supporting Python, R, and SQL. You'll receive a One-Click Starter Repo with data loaders and scaffolding to ensure you spend your time analyzing, not configuring.

> How are teams structured? You can work solo or in teams of up to 4 members.

Ready to turn raw data into a $10,000 win?

## Useful Links

Related topics

AI Algorithms
Machine Learning
Python
Open Source
Software Engineering

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