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Buy-again Product Recommendations
Developed product affinity models at Ready-to-eat cereal product Category to identify products customers are likely to purchase again based on their shopping behaviour.
MS IN BUSINESS ANALYTICS
PURDUE UNIVERSITY
ABOUT ME
I am a Data Scientist with 3.5 years of experience working in Data Science and Analytics
Consulting. During this time I had the opportunity to work with Fortune 500 clients
from Manufacuring, Retail and CPG backgrouds and helped them make strategic business
decisions using data-driven solutions. Currenly, I am pursuing Masters in Business Analytics
from Purdue University in order to expand data science and analytics skills.
I am also an avid football fan and like to
write about football from an analytics prespective.
Here's my
resume.
I am a perpetual learner (Learning over knowing!). I have a strong willingness to explore any area which creates a positive impact by making an intelligent sense of data at hand. My skillsets include:
Some of my project are highlighted below.
Developed product affinity models at Ready-to-eat cereal product Category to identify products customers are likely to purchase again based on their shopping behaviour.
Web scraped football websites using Beautiful Soup which track football player metrics to identify hidden football talent who have similar underlying statistics to top players in the world using K-Means Clustering.
Predicted probability of customer churn using customer transaction, demographic and account information in order to develop effective retention startegy for the customers.
I have worked on advanced analytics projects in Manufacturing, Retail and CPG domains which are listed below:
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West Lafayette, IN, 47906