Karan Dhapade is a data science professional with experience in big data, data exploration, manipulation, and analysis of large datasets. He currently works at Mu Sigma Business Solutions, where he leads a team providing analytical services to a major online search advertising client. Some of the projects he has worked on include analyzing the impact of tool providers on advertiser performance, identifying preferred brand combinations and user characteristics to improve targeting, and measuring the effect of budget subsidies. Karan has skills in tools like Excel, Power BI, SQL, R and programming languages like SCOPE and SAS. He has a B.Tech in electronics from NIT Raipur and experience managing teams and clients in agile work environments.

1. Karan Dhapade
Summary
Data Science professional with
proficiency in Big Data, Data
Exploration, Data Manipulation,
Handling larger data sets
A process oriented person
working in extensive client
interaction, agile and demanding
environments
Phone
+91 – 8971558866
Email
karan.dhapade1911@gmail.com
Professional Experience
Mu Sigma Business Solutions Pvt. Ltd. (Nov 2014 – Present)
Leading a team catering to a major online Search advertising (SEM) client providing analytical
services and solutions to various stakeholders of the search advertising business. Responsibilities
include client handling, team management, project management, data analytics, timely and
error free delivery of projects.
 Good understanding of various aspects of Online Search Advertising industry
 Experience in handling direct client engagement operating as a single offshore resource and
as a lead
Key Projects:
Tool Provider Value Analysis:
 Helped clients understand impact of Tool Providers on advertiser performance
 Used K Means clustering for segmenting accounts and created a dashboard (VBA) for overall view
 The project was appreciated and client published the article showcasing the insights generated
Brand Affinity:
 Helped clients with better targeting of users by finding out highly preferred advertiser
combinations and their corresponding user characteristics
 Used K means clustering in Azure ML studio to segment users-brand combinations based on
their click behavior
Budget Subsidy
 Helped clients understand the impact of giving a budget subsidy to potential advertisers Identified
key advertisers to be focused for experimentation and measured the impact of Budget subsidy on
test accounts
 Used Mahalanobis distance method in R studio to obtain matching test and control accounts and
then performed paired t-test to measure the impact
Tool Provider Monthly Business Review (TP-MBR) report:
 Created a comprehensive TP-MBR report capturing the performance metrics of Third Party Tool
Providers (TPs) which influence around 55% of Ad - Network Revenue
 Analyzed advertiser influx, churn and migration trends across major TPs and verticals. Provided
insights and suggestions which helped clients onboard potential TPs as strategic partners
 Created an Financial Incentive framework for partner TPs based on their Y/Y revenue growth rate
which in turn increased revenue of the Ad - Network by increasing advertiser demand
Technical Skills & Education
BI tools - MS-Excel, MS- Power BI (Data Visualization)
Programming Languages - SCOPE (Big Data), SQL, VBA, R (Basic), SAS
Also Worked upon - MS-PowerPoint, Azure Machine Learning, MS-Access, Dashboards
Statistical Techniques - K-Means, T-test, Z-test
Education:
Program Institution (Board) Result
B.Tech., E&TC, 2014 NIT, Raipur 7.79 (CPI)
XII, 2009 DPS, Durg (CBSE) d72.4%
X, 2007 Sun flag School (CBSE) d88.4%
Positions of Responsibilities
 Lead a team of 4 colleagues for Tool Provider team in Search Business starting as a single resource
and playing a key role in its growth from a single membered team to four
 Organized and improved the current induction plan for newly recruited graduates which came to our
delivery account in Mu-Sigma