Skip to content
View LifeOf-py's full-sized avatar
๐Ÿ˜ƒ
Ola!
๐Ÿ˜ƒ
Ola!

Block or report LifeOf-py

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
LifeOf-py/README.md

Hi there ๐Ÿ™Œ!

Iโ€™m Mayank and Iโ€™m currently pursuing my Masters in Business Analytics(MSBA) from UMN Carlson School of Management.

I have five years of working experience in Analytics and Data Science. My journey in Analytics started as a Decision Scientist at MuSigma (Bangalore) where I solved interesting problems for our Fortune 500 clients for 3.5 years.

Post that, I was working at Walmart as a Senior Data Analyst for 1.5 years where my role revolved around recommending in-demand items to sellers to onboard on walmart.com, using different customer demand signals.

Fun Fact - In case you purchased an item from Walmart in the last couple of years, there is a high chance that item was recommended by me!


What I bring to the table?

Speed, Spearheading & Strategic Thinking


Let's Connect!

๐Ÿ“ง: sing1329@umn.edu

๐Ÿค: LinkedIn


My Motivation?

๐ŸŽ๏ธ: Porsche 911 GT3 RS

๐Ÿฅท: Always chasing 11.2 km/s!

Popular repositories Loading

  1. Interpretable-Machine-Learning Interpretable-Machine-Learning Public

    An approach to deep dive into black-box models

    Jupyter Notebook

  2. LifeOf-py LifeOf-py Public

    My personal repository.

  3. Marketing-Analytics Marketing-Analytics Public

    Predicting which people would be likely to convert from free users to premium subscribers in the next 6 month period, if they are targeted by our promotional campaign.

  4. Customer-Segmentation Customer-Segmentation Public

    Applying clustering techniques to understand client spending patterns to identify meaningful client groups to optimize inventory management.