Vishwajit Sen has over 14 years of experience in data science, machine learning, and analytics. He has worked on projects in various industries including automotive, manufacturing, banking, healthcare, and insurance. Currently he is the Senior Manager of Consumer Analytics at Mahindra and Mahindra. Previously he held data science roles at LTI, RPG Group, and Allstate. He has strong skills in Python, R, SQL, AWS SageMaker, and machine learning algorithms.

1. Vishwajit Sen
Mumbai, Maharashtra, India
vishu1009@gmail.com 8105445280
linkedin.com/in/vishwajit-sen-575ab031
Summary
An enthusiastic, confident and competent professional with 14 years of exposure in delivering multiple Analytics /
Data Science projects using Machine Learning, Predictive Modelling, Data Mining in Manufacturing/ Healthcare/
Banking/Pharma/Automotive/ Insurance Sector .
Coached multiple folks to successfully build their career in the data science and problem solving using ML/DL
algorithms.
Worked closely with the business heads / stakeholders for the Digital/Innovation / Analytics COE team in
understanding the business problems and building the end to end problem solutions.
Proficient in Statistics , both R/ Python programming, SQL, AWS SageMaker, Hive , PySpark , Pytorch , Power BI,
Tableau, SAS E Miner, RapidMiner, ML / NLP algorithms deployment on Cloud platform.
A Six Sigma Lean certified and Six Sigma Green Belt Trained and Tested.
Gained skills in undertaking analytics assignments for clients entailing collation and analysis of data and making
recommendations based on available facts and conclusions.
Excellent exposure of taking sessions on R, PYTHON and Machine Learning for the entire Analytics Team
Strong theoretical understanding of ML/DL algorithms.
Instrumental in building relations with upper level decision makers, seizing control of critical problem areas and
delivering on client commitments.
Passionate about continuous learning and gaining new skills related to Statistics, Data Science, Leadership
Principles and Project/ People Management.
Experience
Senior Manager Consumer Analytics
Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]
Aug 2022 - Present (11 months)
Leading the customer analytics for Automotive division
Senior Specialist Data Science
LTI - Larsen & Toubro Infotech
Jun 2021 - Jul 2022 (1 year 2 months)
Worked on multiple data science assignments . Developed POCs for banking and manufacturing
clients . Involved in stakeholder management and team building activities
Professional Freelancer
Freelance
Dec 2020 - Mar 2021 (4 months)
Worked on multiple Data science projects using Machine learning and deep learning algorithms .
Lead Data Scientist
RPG Group
Vishwajit Sen - page 1

2. Jul 2018 - Nov 2020 (2 years 5 months)
Managed the digital transformation team at RPG group . Worked closely with different stakeholders
and business heads of CEAT Tyres, Raychem RPG etc in understanding and solving their business
problems using ML/ DL optimisation algorithms
Data Science Mentor to Aspirants in US
Springboard
Nov 2015 - Dec 2018 (3 years 2 months)
Mentored more than 70 US people in the areas of data science and machine learning using R and
Python , Data visualisation using Tableau . Mentored them in understanding the business problems and
then solving it using ML applications
Lead Consultant Lead Data Scientist
Allstate
Aug 2015 - Jan 2018 (2 years 6 months)
Led the Data Science Team at Allstate. Helped to build Analytics Center of Excellence team within
Allstate unit at Bangalore location. Up skilled team member's knowledge in the areas of predictive
modeling, Machine learning, R. Built Machine Learning Algorithms Deep Learning. Mostly worked in
the areas of Marketing Analytics to solve the complex business problems in targeting prospects. Used
techniques like regression, logistic regression , decision trees, random forests, neural networks, GBM,
XGBoost, Genetic Algorithms for building complex Machine learning Deep learning models for the
Marketing Analytics Team. Also, worked on small projects ( Text Mining , NLP Using R and OpenNLP to
understand the sentiments of the customers about our products.
Senior Information Analyst (Advanced Analytics Team)
IHS Markit
May 2013 - Apr 2015 (2 years)
keywords: Big Data, Advance Analytics, Consulting, Data Mining, Machine Learning
IHS is an US based data, critical information and insight provider to major businesses across Oil/Gas
and energy, Maritime, Finance, Defense, Automotive, Chemical and Technology.
Worked on SAS, SQL SERVER, R, RAPID MINER, WEKA for the Month End Automotive Sales
forecasting Projects
Visualisation using EXCEL and SSRS for the Month End forecasted results.
Exploratory Data Analysis, Generating Summarized Univariate and Bivariate Analysis reports for Month
End Forecasting Project and Customer Loyalty Analytics Projects.
Conducted Knowledge sharing sessions on VARMAX forecasting procedure using SAS and R,
PYTHON for data Analysis, RATTLE for Data Mining
Communicated effectively with the client in understanding and solving the business problems
Worked on Univariate Time Series forecasting projects.
Worked on Classification algorithm ( Naïve Bayes, Logistic Regression for the Customer Loyalty
Analytics projects.
Worked on Decision tree Algorithm using C5.0 , Random Forests and Neural Network algorithm for the
Customer Loyalty Analytics Projects.
Worked on Linear Regression to find out the most important factors that influences customers purchase
decisions in an Automotive Industry.
Vishwajit Sen - page 2

3. Business Analyst
Genpact
Jun 2011 - May 2013 (2 years)
Worked on SAS, SQL SERVER, and Healthcare analytics Projects, Sales planning and analytics.
Dashboard preparation for pharmaceutical products performance and process, adhoc sales
Analysis, Excel reporting tools and techniques, Data analysis using SAS, Advanced excel and SQL.
Generating product performance reports and delivering it to the client. Understand, deliver and
Automate daily, weekly & monthly reporting of business performance.
Build a monthly dashboard (aggregate of existing reports) to summarize the overall business
performance.
Provide insightful updates for business.
Ad-hoc data analysis for day-to-day running of business.
Extracting and manipulating data as well as producing suitable output/presentations including reports
and charts.
Forecasting of the Pharmaceutical Product sales using ARIMA and Simple moving average.
Quality Analyst Healthcare domain
Data-Core Systems Inc.
Mar 2010 - Mar 2011 (1 year 1 month)
Key Result Areas:
Identifying the key clinical information to be recorded in NextGen from the source document. (worked
with different modules- Medication , Allergy, Past Medical History, Chronic problems, Lab modules, etc)
Direct client communication which involved training and demonstration of EHR and other in- house
software to the clients, understanding the client requirements and making proper documentation for the
modifications in software, template modification & customization.
Maintaining Electronic Medical Records.
Abstracting Patient's Medical Data.
Providing training and effectively sorting out queries.
Maintaining accuracy and standards.
Scanning and indexing paper charts as well as conducting clinical review of paper charts.
Clinical Data Entry, QA Validation in offshore model.
Electronic Health Record Management.
Electronic Health Record Template Modification.
Worked for a multi specialty hospital (more than 40 hospitals in the group) in managing their Electronic
Health Records
Managing clinical query management process with onsite RN & doctors.
Implementing new guidelines and updates in day to day workflow
Project Tool:
NEXTGen
PROCARE
Significant Highlights:
Instrumental in imparting training and effectively sorting out queries.
Substantially increased the number of medical records abstraction.
Achieved increase in targets and effectively attained them.
Vishwajit Sen - page 3

4. Assistant Clinical Analyst Healthcare domain
Sunknowledge Services Inc.
Jun 2009 - Feb 2010 (9 months)
Key Result Areas:
Dealt with the medications and have immense knowledge of it.
Served as the first line resource for Clinical Customer Issues with apt resolution instructions and
escalating the same to the physicians.
Medicare Part D
Accountable for Claims processing, handling denials & appeals, medication therapy management, step
therapy, suggesting alternative medication in the formulary and tracking drug interaction
Coordinating with in house physicians for understanding impact of application configurations for meeting
customer goals and expectations.
Expediting incoming information in case of critical issues and appeals.
Associated with Drug Utilization Management.
Pharmacy and Therapeutic Committee decisions and review.
Involved in the drug prior authorisations.
Significant Highlights:
Participated in the training of Medication Therapy Management.
Involved in the claims process.
Provided health solutions to 20 U.S state beneficiaries on their Medicare Part D Drug plan.
Trained new joinees on "Pharmacy Benefit Manager (PBM)"software operation
Education
Manipal College Of Pharmaceutical Sciences
Bpharm, Pharmaceuticals
2005 - 2009
Manipal College of Pharmaceutical Sciences
Bachelor in Pharmacy, Pharmaceutical Sciences, Pharmacology,Pharmaceutical
Management
2005 - 2009
DAV Hehal, Ranchi
12th, Biology, Chemistry, Physics, Economics
2002 - 2004
Don Bosco Academy, Mccluskiegunj, Ranchi
10th, Science
1999 - 2002
Holy Cross School, TISCO West Bokaro
Nursery till 8th, Science
1991 - 1999
Vishwajit Sen - page 4

5. Licenses & Certifications
Lean Certified - Genpact
Computing for Data Analysis using R - Coursera
Computing for Data Analysis
MINTAB Quality Training - Minitab
Data Mining with WEKA - The University of Waikato
Management for a competitive edge - deactivated group
The Data Scientist;s Toolbox - Coursera Verified Certificate
Introduction to Cloud Computing - Alison
An introduction to Programming with Python - Alison
Introduction to Time Management - Alison
Machine Learning - Coursera
Principles of Project Management - Polytechnic West
HADOOP Fundamentals
Exploratory Data Analysis - Coursera
Big Data Hadoop Fundamentals - IBM
the-sequel-to-sql
Data Science Methodology - Cognitive Class
Introduction to Solr - Cognitive Class
Vishwajit Sen - page 5

6. Insurance Essentials - The Institutes Knowledge Group
900029224
Introduction to Pig - Cognitive Class
Kaggle R Tutorial on Machine Learning - DataCamp
Big Data Analytics with Revolution R Enterprise - DataCamp
Training, Test Sets, R, ggplot - Udemy
SQL Fundamentals - Udemy
Guide to Diploma in Project Management - Udemy
Introduction to Analytics and Language of SAS - Udemy
Analytics Case Studies - Udemy
Data Science and Machine Learning Essentials - edX
Scraping and Data Mining for Beginners - Udemy
Logit Regression in Python - Udemy
Linear Regression in R - Udemy
edX Honor Code Certificate for Statistics for Business - II - edX
Foundations of Data Science - Springboard
Data Cleaning Course - Dataquest.io
B40RWS8VX45LEY99NYP3
Data Science Projects Course - Dataquest.io
YVC22GSMPMR7G28PO03O
Data Science Projects Course - Dataquest.io
Vishwajit Sen - page 6

7. YVC22GSMPMR7G28PO03O
Digital Analytics for Marketing Professionals: Marketing Analytics in Practice
(85.6%) - Coursera Course Certificates
Predictive Modeling fUNDAMENTALS - Cognitive Class
Introduction to R - DataCamp
af51266d4f9999922ee3f055c2bf78d0cd8fab12
Intro to Statistics with R: Introduction - DataCamp
3ca5943b472afcbd5dd130b79c13776d24b5982c
Introduction to Python for Data Science - Microsoft
Applied Data Science - Syracuse University
Linux Fundamentals - Udemy
Machine Learning, Analyzing Big Data using SparkR, Digital Analytics - Cognitive
Class
Data Analysis on Hadoop - LinkedIn
Building Self-Confidence - LinkedIn
Data Science and Analytics Career Paths and Certifications - LinkedIn
Artificial Intelligence Foundations Thinking Machines - LinkedIn
Building A Recommendation System With Python Machine Learning Ai - LinkedIn
Machine Learning And Ai Foundations Recommendations - LinkedIn
The Essential Elements Of Predictive Analytics And Data Mining - LinkedIn
Machine Learning and AI Foundations: Recommendations - LinkedIn
Vishwajit Sen - page 7

8. Machine Learning and AI Foundations: Value Estimations - LinkedIn
The Essential Elements of Predictive Analytics and Data Mining - LinkedIn
Building a Recommendation System with Python Machine Learning & AI -
LinkedIn
Artificial Intelligence Foundations: Thinking Machines - LinkedIn
Excel Data Analysis Forecasting - Project Management Institute
AdzjgUbAUcu5vHoRr0RJz8XzyNT7
SQL for Statistics Essential Training - Continuing Professional Education Services,
Inc.
AWHf5aNxpoWTENXg_fvdjUTZwNBL
MACHINE LEARNING WITH PYTHON - Cognitive Class
BUILD YOUR OWN CHATBOT - Cognitive Class
DATA ANALYSIS USING PYTHON - Cognitive Class
AWS Sagemaker - Amazon Web Services (AWS)
Skills
Data Analysis • Analytics • SAS • Analysis • Business Analytics • Data Mining • Statistics •
Business Analysis • SQL • Team Management
Honors & Awards
Star of the Month - Allstate
Jun 2016
Vishwajit Sen - page 8