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Analytics Projects

At the University of Washington, during my MSBA, I worked on multiple projects using supervised and unsupervised learning methods to extract valuable business insights. ​

These technical skills, coupled with my knowledge of Business and marketing have helped me bridge the gap between data science and business. 

Click below to read about the various projects. I will be happy to provide more details about any of these. 

Projects: Case Studies
Meeting

Website Cookie Data

Understanding the transaction rate of customers to drive further profit on an e-commerce website. How can we predict that a visitor will transact on the website?

Customer Churn at a bank

Customer segmentation analysis of the bank's customer data. Supervised learning methods to predict customer churn. Also assessed is the implication of using the “Gender” variable and its bias in Banking data.

Brainstorm
Listening to Music on Phone

Top 200 Weekly charts of Spotify (2020 & 2021)

Assessed the relationship between streaming volume, Artists and their popularity on Spotify.

Projects: Projects

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