Dream11

Stack
Projects

I joined dream11 with the excitement of the opportunity to apply machine learning in the sports industry. In the personalisation team, I focused on building secure, scalable, high-throughput, and low-latency machine learning systems. Our team is developing the following ML solutions-

Non-stationary bandit-based intelligent traffic routing.
Payment instrument recommendation
Real-time anomaly detection system for monitoring
User graduation via discount and deposit offers.

Dream11 platform now has over 150MM users and 10M concurrent users overall. I was lucky 😉 enough to be invited to discuss our work on platforms like Databricks, open-source communities like MLOPS, and top AI conferences like AIML Systems 2023.

PS: I've built and maintained the above models, with great enthusiasm

Toppr (Acquired by BYJU’s)

📝Articles 📹Videos 🎤Talks

Led by Zishaan and Hemanth, I get to experience working with diverse engineering and product teams.

Implemented a Leads Scoring model with 0.92 AUC, resulting in a 5% increase in sales conversions.
I established an internal data lake and warehousing system using open source (Dremio + Redash) to streamline data from multiple sources for analytics.
Played a pivotal role in a $35 MM fundraising round for Toppr, helping in due diligence on investor data reports.
Improved tutor certification and onboarding processes, leading to a significant 50% rise in applications.
Introduced a heuristic Customer Satisfaction (CSAT) score for tracking user feedback.

Internships

[ziff.ai (Acquired by dataRobot)](https://aayushchaudhary.notion.site/ziff-ai-Acquired-by-dataRobot-7cc13ee300d74203b76cec81f5689407)

👨‍💻 Deep Learning Intern

📆 Summer 2017

📍Utah, USA

Stack

https://github.com/i-aayush/Ziff

Prepared a CNN model on a self supervised image dataset to classify ethnicity of an individual.
Illustrated usage of Bayesian hyperparameter tuning and histogram equalization technique to improve model accuracy.

Nokia

👨‍💻 Intern

📆 Summer 2016

📍Gurugram, India

Stack

Internship in NOKIA under telecom analytics group, **supervised Anoorag Mathur, Leader-Application and Analytics Business Group, Nokia

Excel models to identify, validate, document, and communicate business requirements and organize them into a comprehensive and understandable "to-be" state to ensure that the client understands both the requirements and the results of changes to the system.

Education