Data Scientist at Canada Life
Based in Toronto, Ontario
Data Science professional with 5+ years of experience in building data-driven solution pipelines in Python by leveraging Machine Learning and Statistical Analysis for a broad spectrum of domains including Manufacturing, Retail, and Data Centers clients.
I performed football analytics with Premier League Data for the latest 12 seasons data i.e., 2011-2012 to 2022-2023 which contains data on 4451 matches with 21 variables of interest such as corners, fouls, shots on targets, etc. to predict the full time result.
Credit Risk Modeling
We worked with lending history (loans current or defaulted) dataset which has approximately 1.3 million loans and around 128 variables. Using the available data we estimated the capital requirements for Lending Club.
2022 - 2023
Masters in Data Analytics
The University of Western Ontario, Canada
2014 - 2018
Bachelors in Technology, Computer Science Engineering
Relevant Courses: Engineering Mathematics | Database Management System | Data Structure & Algorithms | Analysis & Design of Algorithms | Object-Oriented Programming | Python | Machine Learning for Data Science