Intro

My name is Siddhant Agarwal, and I am a third year Computer Science major and FinTech minor at the Georgia Institute of Technology. I am from Mumbai, India, and I am currently living in Atlanta, GA.

I am passionate about machine learning and building products that people like to use. I often explore the intersection of the two through some of my personal projects and my classes at Georgia Tech.

I recently developed the Indian Premier League Simulator, an app that allows cricket fans to simulate both cricket player auctions and each ball of a cricket match. In its only week of launch, the app reached over 30,000 users and 250,000 views on twitter alone. I am looking to build this app further, and am looking for people to help me develop it!

Sports Analytics

I am very passionate about analyzing sports data, and I often post my analyses on twitter. I have gained over 20,000 impressions through these posts and have interacted with several analysts working with professional cricket teams. Some of my analyses are given below:

• Looking at "rest overs" between cricket bowlers' spells. This stat is not used in cricket analysis
  
• Scraping 1000+ cricket scorecards from ESPN to improve data access in cricket
  
• Quantifying the quality of test match bowling spells this century
  
• Introducing a statistic called the Non-boundary Strike Rate, which isn't used in typical cricket discourse

I Like

• Data
• Sports (Cricket, Football, Basketball, Tennis)
• Traveling
• Podcasts (Joe Rogan Experience, The Economist, Wisden Cricket Weekly, Freakonomics Radio, Lex Fridman Podcast)
• Books (Currently reading "The Selfish Gene" by Richard Dawkins)
• Twitter (or more formally, X)
• Wildlife Photography (from a recent trip to Kenya )