Data Scientist and Marketing Analyst

My Vision is to Help You Grow Your Business Revenue By Focusing on the Right Things using Data Analytics.

Projects on Data Science
Project 1: Augmenting retail sales with Data Science
Industry: Retail
Problem Statement: How to deploy the various rules and algorithms of Data Science for analyzing
stationary store purchase data.
Topics: In this project I have deployed the various tools of Data Science like association rule, Apriori
algorithm in R, support, lift and confidence of association rule. I have analyzed the purchase data of the stationary outlet for three days and understand the customer buying patterns across
products.
Highlights:
? Association rules for transaction data
? Association mining with Apriori algorithm
? Generating rules and identifying patterns
Project 2 : Analyzing the pre-paid model of stockbroking
Industry: Finance
Problem Statement: Finding out the deciding factor for people to opt for the pre-paid model of
stockbroking.
Topics: In this Data Science project I have learned about the various variables that are highly
correlated in the pre-paid brokerage model, analysis of various market opportunities, developing
targeted promotion plans for various products sold under various categories. I have also do
competitor analysis, the advantages and disadvantages of the pre-paid model.
Highlights:
? Deploying the rules of statistical analysis
.
? Implementing data visualization
? Linear regression for predictive modeling
Project 3: Cold Start Problem in Data Science
Industry: Ecommerce
Problem Statement: how to build a recommender system without the historical data available
Topics: This project involves understanding of the cold start problem associated with the
recommender systems. I have gained hands-on experience in information filtering, working on
systems with zero historical data to refer to, as in the case of launching a new product.