Inner Workings of the Principal Component Analysis applied to Cricket Analytics. The 1st part will be on Covariance Matrix followed by the 2nd part on Eigen Values and Eigen Vectors and the 3rd part will combine the concepts of Covariance Matrix and Eigen Values and Eigen Vectors to have a solid foundation of PCA. This will help us to understand the inner workings of the PCA and also to apply in other applied areas.

Speaker BIO- Ambarish is a Business and Technology Consultant for more than 20 Years. He is a data lover and compete regularly in data science competitions. He had won Eight Data Science Competition Awards ( 1 sponsored by NASA, Seven sponsored by Kaggle - A Google Company). He presently works with Tata Consultancy Services (TCS) as the Energy Trading and Risk Management Lead, as well as Data Analytics Practice Lead for TCS Utilities. This is a very exciting position where he has the opportunity to combine domain knowledge with data. He is very fortunate to be surrounded by very enthusiastic and energetic people. He do follow cricket, loves to read detective books, and also watch detective films.

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