resume of ajay ohri

1. Principal Data Scientist
Proposed role in this Project Principal Data Scientist
Name Ajay Ohri
Photo Identification
Date of Birth 7 June 1977
Email address Ohri2007@gmail.com
Designation Principal Consultant, Wipro
Basic Qualification MBA (IIM Lucknow)
Technical Qualification Bachelors in Engineering (Mechanical) Delhi College of Engineering
Profile Summary
Ajay Ohri is an experienced Data Scientist with around 14 years work experience. His extensive experience in data science
includes the domains of financial services including cross selling cards, loans, insurance, across automobile, telecom and
entertainment among others. Ohri is proficient in SAS, Python, R, SQL and Tableau. He has worked with remote servers in
Data Warehouse environments as well as cloud computing. In addition, he has run a blog Decisionstats.com with more than 1
lakh views per annum every year for six years and has written extensively on analytics and APIs for industry websites. His
publications include two internationally recognized books in R with a third book in Python. He has worked and taught on data
science especially visualization, machine learning, exploratory data analysis, RFM and LTV analysis, regression modeling,
data cleaning and data manipulation. He is one of the few data scientists in the world to have a page dedicated on Wikipedia
at https://en.wikipedia.org/wiki/Ajay_Ohri .
Areas of Expertise
R, Python, Data Mining, Machine Learning, Data Science, Data Visualization, SAS, Tableau, SQL, Cloud Computing,
Exploratory Data Analysis, Financial Services.

2. Work Experience
Organization Designation From To
Wipro Principal Consultant, India- Analytics Feb 2017 Present
Decisionstats.com Consultant and Founder April 2007 Present
Citi Financial Manager Jun 2006 Mar 2007
WNS Manager Mar 2005 Jun 2006
GECIS Business Analyst Feb 2004 Mar 2005
Experience in Significant Projects
Name of Project Brief of Project Role Tech Environment Duration
From
mm-yyyy
Duration
To
mm-yyyy
Data Science for DG
Systems Central Board
for Excise and Customs
(CBEC).
Ministry of Finance,
Government of India
For Wipro
1) Predict annual revenues using SAS Enterprise
Miner for central excise, imports, exports,
service tax
2) Create clusters of countries based imports and
exports data using SAS Enterprise Miner
3) Do L2 Validation for analytical reports using
SQL (Sybase) created by developers and L1
validation.
4) Help with team management and coordination
5) Meet client for client requirements
Principal
Consultant
SAS (Base) and SAS
Enterprise Miner,
SAS Visual Analytics and
SAS Fraud Framework
Feb 2017 Jun-2017
Training for multiple
clients
Training in SAS, Python and R Instructor Python, R, SAS Sept 2016 Feb 2017
E commerce and taxation
for Govt of Ontario
Estimate black market shadow economy of
Ontario Canada by web scraping
Data
Scientist
Python (Beautiful Soup) and
Ubuntu Linux
Oct 2015 Nov 2015
Spatial analytics and
Econometrics- Indicus
(Acquired by AC Nielsen)
Optimize estimation of economic metrics at micro
level of India by spatial analytics
Data
Scientist
R, PostgresSQL Jan 2014 Mar 2014
Visualization and
Analytics for Contata
Helped with creation of social media analytics
engine.
Helped with segmentation analysis for customers.
Data
Scientist
R, Javascript Nov 2013 Jan 2014

3. Helped with R based analytics
Analytics for Sutherland
Global
Led, managed and contributed as a consultant to
a large offshoring firm in the practice of financial
firm analytics (primarily Middle East Asian Banks).
Included training them in SAS as well as working
on projects
Consultant SAS, Windows Aug 2011 Jan 2012
Spatial Analytics and
Econometrics for
Cinepolis
Placement of cinemas in malls using analytics.
This was done by using existing catchment ,
tickets sold, and fitting in variables like number of
screens , road size, parking area, competing malls
nearby, socio-economic profile (using SEC market
research data) and interpolating spatial analytics
using Google Earth
Consultant Excel, Solver, Google Earth
(KMZ)
Nov 2008 Mar 2009
Automobile analytics for
Trilogy
estimate demand of automobiles and forecast
inventory for north American automobile
dealership chain based on website leads
Analyst R, Linux Nov 2007 Oct 2008
Analytics for Personal
Loans for Citi Financial
India
Led projects on deriving insights from multiple
databases which led to sale of extra 50000 credit
cards by cross-selling on dormant personal loans
which had a clean payment history.
This was done using both SAS BI reporting tool
as well as SAS/BASE and SAS/STAT
Manager
Analytics
SAS, SQL, SQL Server,
Windows
Jun 2006 Mar 2007
Analytics for Insurance
Client (Personal) for WNS
(Client name is GMAC
Insurance)
led project >150,000$ a year to create unique
alphanumeric id for customers for GMACI
(insurance arm of General Motors Finance
company) and remove duplicates using SAS
software.
Also created visualization for campaigns of
marketing for Insurance
Manager
Analytics
SAS, Windows Mar 2005 Jun 2006
Analytics for GE
Consumer Finance
Created regression models in SAS for propensity
to apply.
Created dashboards for business snapshot
Business
Analyst
VBA, SAS, Windows Feb 2004 Mar 2005

4. Conferences and Talks
1) Big Data Big Analytics – Workshop on Statistical Machine Learning and Game Theory Approaches for Large Scale Data Analysis 9 July 2012 – 14 July
2012 Sponsored by Mathematical Sciences, Division of Science and Engineering Research Board at Bangalore India Department of Science &
Technology Government of India. http://krishnarajpm.com/bigdata/abstract.pdf
2) Data Analytics using the Cloud- Challenges and Opportunities for India at 1st International Symposium on Big Data and Cloud Computing
Challenges(ISBCC-2014) March 27-28, 2014 VIT University, Chennai, India Sponsored by BRNS http://chennai.vit.ac.in/isbcc/
3) Open Source Analytics at OSSCamp 2014
4) Society for Industrial and Applied Mathematics- Delhi Technological University Evolute 2015 : Annual Symposium Speaker
5) Talk on Analytics as a profession at Indian Institute of Technology Delhi July 2014
6) Data Analytics Summit at Delhi School of Economics 13/8/2016
7) Crash Course on Data Science (Part I) Byte Academy New York Sunday, Jun 19, 2016
Publications
1. Wrote a blog Decisionstats.com with views> 100,000 annually for past six years.
2. I was cited by Wired Magazine and ReadWriteWeb for espousing a marketplace for algorithms.
3. Wrote two books on R for Springer (http://www.springer.com/in/book/9781461443421 and http://www.springer.com/in/book/9781493917013 ) and
first book is scheduled to be translated in Chinese
4. Wrote around 50 articles for ProgrammableWeb and many articles for KDNuggets
5. Remaining articles are at https://decisionstats.com/decisionstats.org/
6. Python for R users is scheduled for publication this year (book is in editing stage) Wiley (https://www.amazon.co.uk/Python-R-Users-Ajay-
Ohri/dp/1119126762