Edelweiss Group is organizing the Edelweiss Data Analytics and Machine Learning Hackathons. Register by April 7.
About the organizer:
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.
About the Hackathon:
Edelweiss Hackathon challenges you to prove your mettle with three real-life problem statements. These problems are grouped under two broad themes – Machine Learning & Data Analysis.
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 code, design, and usability.
- Machine Learning – Propensity to Foreclose
Predicting propensity of the customer to foreclose their loans. The objective is to retain the customer for maximum tenure.
- Machine Learning – Portfolio & Price Prediction for Intra-day trades
Price movement prediction using a masked set of features – This involves predicting short-term to mid-term price movements using a combination of multiple features.
- Data Analytics – Identify top funds for a sales call
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.
The Prize pool of 3.5 Lakhs will be common to both the Data Analytics and the Machine Learning track.
- 1st Prize: INR 2,00,000.
- 2nd Prize: INR 1,00,000.
- 3rd Prize: INR 50,000.