Ajay ohri Resume
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Ajay Ohri is an experienced principal data scientist with 14 years of experience. He has expertise in R, Python, machine learning, data visualization, SAS, SQL and cloud computing. Ohri has extensive experience in financial services domains including credit cards, loans, and insurance. He is proficient in data science tasks like exploratory data analysis, regression modeling, and data cleaning. Ohri has worked on significant projects for government and private clients. He also publishes books and articles on data science topics.
Ajay ohri Resume
- 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 [email protected] 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