Edelweiss Hackathon

2349 Registered Allowed team size: 1 - 4

This campaign is over.

starts on:
Feb 05, 2019, 10:00 AM
ends on:
Apr 07, 2019, 01:20 PM


Edelweiss Group is one of India’s leading financial services conglomerates with a diverse and robust platform spanning three business segments – Credit, Franchise & Advisory and Insurance. This de-risked diversified business model reflects Edelweiss’s contribution to the growth of India across its multiple consumer segments, from industrial behemoths and large companies through to small businesses and the average Indian household. Edelweiss serves over 1.1 million clients via its 12,000+ employees in over 475 offices across the globe.

As part of the Edelweiss Hackathon, we challenge you to prove your mettle with three real-life problem statements. These problems are grouped under two broad themes – Machine Learning & Data Analytics

Contestants are encouraged to enrich the data using external datasets as long as they disclose it in the submitted report.

The evaluation will be done based on the code, design, and usability.

May the best Algo win!


Data Analytics – Identify top funds for a sales call

Expected Outcome

Create an Engine that helps identify the top 10 clients who can be approached upon each listed trigger event to pitch for additional business


a. The release of a research report
b. Block deals
c. Market event having a price impact

Input parameters:
• Client Interactions
• Research Released
• Execution Data
• Holdings data and pattern
• Client profiles
• Place holder / TextBox to input Block Deal
• Major Market Events (ex: Budget, Petrol price, Resignation of CEO, etc..) - This information is available on BSE/NSE websites
• Management Meetings (Investors with Corporates) - This information is available on BSE/NSE websites

Generate incremental revenue and better market share of Edelweiss vis-à-vis its competition.


Use of any open source data, programming languages, platform and toolset is permissible

Prizes INR 3,50,000 in prizes

The Prize pool of 3.5 Lakhs will be common to both the Data Analytics and the Machine Learning track.

Main Prizes
1st Prize
INR 2,00,000
2nd Prize
INR 1,00,000
3rd Prize
INR 50,000

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