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Ajay Ohri is a data scientist with over fifteen years of experience in data science including SAS, R, Python, and Tableau. He is currently deployed in Gurgaon. He has experience in making models for credit cards, banking and insurance and analysis for Entertainment, Telecom and e-Commerce applications.

 

Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. Decisionstats.com has accrued a million page views since its founding in 2007.  He has interviewed more than 100 practitioners in analytics, including leading members from all the analytics software vendors.  Ohri has written almost 2000 articles on his blog, besides guest writing for influential analytics communities. He has taught courses in R through online education. Ohri has interviewed many notable people in analytics including co-founder of SAS Institute John Sall,  founder of KDNuggets Gregory Piatetsky-Shapiro, Jan De Leeuw, Hadley Wickham, Hilary Mason, Usama Fayyad  and Stephen L. Baker  among others.

 

Ajay Ohri began writing articles starting from CoolAvenues. He has written around 50 articles for ProgrammableWeb and many articles for KDNuggets. Besides this, he has been cited by Wired Magazine and ReadWriteWeb for espousing a marketplace for algorithms.

Ohri has also written on using Big Data for Developing countries for IBM Big Data Magazine Ohri has also written tutorials in both Python  and SAS for StatisticsViews.com.^. Ohri  was one of the five data scientists globally who were featured in KDNuggets in A Day in the life of a Data Scientist.

Ohri is the author of three books in data science.

In 2012 he wrote R for Business Analytics  for Springer Publishing. The book was translated into Chinese by Xi’an Jiaotong University Press and in 2016 they printed the Chinese edition. R for Business Analytics looked at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its (then) 4000 packages.  With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) was emphasized in this book to further cut down and bend the famous learning curve in learning R. This book was aimed to help the reader kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting.

In 2014, Ohri wrote Cloud Computing: An Approach for Data Scientists for Springer Publishing.

R for Cloud Computing looked at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its (then) 6000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials was emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hindered its widespread adoption.

In 2017 he wrote Python for R Users: A Data Science Approach for Wiley Publishing.

The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provided readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R.

Following an introduction to both languages, the author cut to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—were treated in detail, as are time series forecasting, text mining, and natural language processing.

In addition to technology books, Ohri has authored four books on poetry. Unlike his technology books, Ohri’s poetry books are self-published.  His poetry blog www.poemsforkush.com had accrued more than 200000 views.

Ohri graduated from Delhi College of Engineering with a B.E. in Mechanical Engineering, and has a MBA from Indian Institute of Management Lucknow. In addition, he did graduate courses at University of Tennessee, Knoxville

He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. His 15-year career as a data scientist includes working with names like Citi Group, Tata Group, GE et al.

Mr. Ohri’s research interests include using Big Data Analytics to solve enterprise challenges, spreading open source analytics, analyzing social media, simpler interfaces for computing, and investigating knowledge flows.

 

Ohri has created and conducted trainings at multiple institutes

 

1. Jigsaw Academy (R 2012)
2. Edureka (R 2013)
3. IMS Proschool (R SAS 2014,2018)
4. Collabera (R 2015)
5. WeekendR (R 2015)
6. Sunstone (R, 2016)
7. DigitalVidya (R, Python 2017)

 

Ohri has been interviewed multiple times by people in the industry-

 

1. Big Step InterviewJuly 2015  Expert Interview on the Importance of Big Data
2. AnalyticsVidhyaFeb 2015 Interview– Ajay Ohri, Founder, decisionstats.com
3. AnalyticsIndia MagazineNov 2012 Interview, Author “R for Business Analytics”
4. HRTechEurope More R in HRNov 2012
5. Data Mining ResearchJan 2011 Interview Data Mining Research interview
6. AnalyticBridgeApr 2008 Interview with Ajay Ohri, Data Mining Consultant from India
7. KDnuggets Interview
8. DigitalVidya Interview
9. Audio Interview Flaw Code

 

 

He has given multiples talks at conferences

 

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

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

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 (followed by multiple invited talks on R)

6) Data Analytics Summit at Delhi School of Economics

7)  IIT Delhi 24th Feb, Saturday,2018 Two hours class that covered about R, different features, how to use it,etc

8) BASIC 18 (Big Data Analytics and Smart cities International conference 2018)- A white paper on automated time series forecasting  ISBN 978-81-933908-0-1

9) Talk on AI at PEC Chandigarh

10) Talk at Yes Bank Datathon

11) Talk at IIM Kashipur

12) Talk at Meetups

13) Workshop for BITS Pilani as Guest Faculty

• WORKSHOP ON INTRODUCTION TO DATA SCIENCE – PROGRAM CHARTER

April 20-21, 2019, Bangalore

• WORKSHOP ON DATA VISUALIZATION – PROGRAM CHARTER

April 20-21, 2019, Bangalore

14) Judged Hackathon at   ACM organisation (Association for Computing and Machinery) of Jaypee University of Information Technology, Solan.   ADVENTUM 1.O’ on 18 -19 th January, 2020.

15) “Data Science, Machine Learning and Artificial Intelligence: Perspectives and Challenges” 20-21 December, 2019 VENUE: LE MERIDIEN, DELHI Convener: S&S Consultants – Lecture on Data Visualization

Ohri has conducted following Workshops

• Pre-Placement training workshop for Economics Students, Delhi School of Economics.
• Data Science (Byte Academy New York)

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You can see the relevant links at https://decisionstats.com/decisionstats-org/

In addition, he conducted training for Danamon Bank new joiners on Python, R and Data Science.

Currently, Ohri is a member of team of AI / Data Engineering practice of a Consulting firm. Current duties involve building churn models using PySpark in Azure DataBricks

Past duties involve Creating POVs/POCs in practice (e.g. Speech Recognition, Mortgage Default, Credit Card Fraud, Telecom Churn, Trade Surveillance), Mentoring junior team members (Microsoft team for weekly teaching in R and Python and Kaggle Training for competitive coding in Machine and Deep Learning) as well as founding a Meetup for external outreach. In addition, he assists for creating competency matrix and improving Hiring process for practice.

 

———————————-RELEVANT LINKS, SLIDES, PICTURES ARE BELOW———————–

 

 

 

 

 

Interviews (of Ajay Ohri)

1. Big Step Interview July 2015  Expert Interview with Ajay Ohri on the Importance of Big Data http://blog.bigstep.com/big-data-experts-interviews/expert-interview-with-ajay-ohri-on-the-importance-of-big-data/
2. AnalyticsVidhya Feb 2015 Interview with Industry expert – Ajay Ohri, Founder, decisionstats.com http://www.analyticsvidhya.com/blog/2015/02/interview-expert-ajay-ohri-founder-decisionstats-com/
3. AnalyticsIndia Magazine Nov 2012 Interview – Ajay Ohri, Author “R for Business Analytics” http://analyticsindiamag.com/interview-ajay-ohri-author-r-for-business-analytics/
4. HRTechEurope More R in HR Nov 2012 http://blog.hrtecheurope.com/more-r-in-hr/
5. Data Mining Research Jan 2011 Interview Data Mining Research interview: Ajay Ohri http://www.dataminingblog.com/data-mining-research-interview-ajay-ohri/
6. AnalyticBridge Apr 2008 Interview with Ajay Ohri, Data Mining Consultant from India
   http://www.analyticbridge.com/group/interviews/forum/topics/2004291:Topic:11703
7. KDnuggets Interview https://www.kdnuggets.com/2017/11/day-life-data-scientist.html
8. DigitalVidya Interview https://www.digitalvidya.com/blog/interview-with-ajay-ohri-data-scientist-kogentix-inc/
9. Audio Interview Flaw Code https://soundcloud.com/flawcode/ajay-ohri

Training

1. Youtube Video of teaching R online (100000 views) https://youtu.be/TGo9F0QyBuE?t=3m52s
2. Video of teaching Python in class https://decisionstats.com/2015/10/08/introduction-to-python-for-data-science/
3. Video of  teaching R in class https://decisionstats.com/2015/10/08/introduction-to-r-for-analytics-and-data-science/
4. Video of  teaching Analytics and Data Science in class https://decisionstats.com/2015/10/08/introduction-to-analytics-and-data-science/

• Jigsaw Analytics http://analyticstraining.com/2013/jigsaw-completes-training-of-300-students-on-r/
• Edureka https://decisionstats.com/2013/12/11/teaching-r-in-india-rstats-323-for-6-week-course/
• Collabera http://collaberatact.com/online-training-courses/analytics-with-r/
• WeekendR
• Sunstone Business School
• DigitalVidya http://www.digitalvidya.com/data-analytics-course/

In Media

A Day in the life of a Data Scientist

https://www.kdnuggets.com/2017/11/day-life-data-scientist.html

 

App Store for Algorithms

• June 2011 article in ReadWriteWeb  http://readwrite.com/2011/06/01/an-app-store-for-algorithms
• August 2014 in Wired http://www.wired.com/2014/08/algorithmia/

How to be a better Writer

• Wil Wheaton on Tumblr http://wilwheaton.tumblr.com/post/54699823961/torteen-great-advice-to-writers
• The 8 rules of writing http://bookmarketingbestsellers.com/ajay-ohri-the-8-rules-of-writing/
• Quora  https://www.quora.com/What-resources-can-I-use-to-improve-my-written-English/answers/2048810

CONFERENCES AND TALKS

1) Big Data Big Analytics – http://krishnarajpm.com/bigdata/abstract.pdf 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. (sponsored airfare-hotel accomodation-honorium)

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 (flight)

http://chennai.vit.ac.in/isbcc/

3) Open Source Analytics at OSSCamp 2014 http://osscamp.in/

http://osscamp.in/events/6/open-source-analytics-overview-r-python-and-others

SLIDES- Open source analytics from Ajay Ohri

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

http://www.slideshare.net/ajayohri/learning-r-and-teaching-r

6) Data Analytics Summit at Delhi School of Economics  https://decisionstats.com/2016/08/13/analytics-as-a-career/

7)  IIT Delhi 24th Feb, Saturday,2018 Two hours class that covered about R, different features, how to use it,etc

8) BASIC 18 (Big Data Analytics and Smart cities International conference 2018)

Workshops

Pre-Placement training workshop for Economics Students, Delhi School of Economics.

 

 

Data Science (Byte Academy New York)

• National seminar on emergence of internet of things (io t) trends and challenges” 

 Institute of Management Studies Ghaziabad

saturday, november 19, 2016

• Jakarta, Indonesia

Training Bank of Danemon Employees for two weeks Dec 2017

• IIT Delhi

February 24,2018

MDP lecture on R

 

Trained Great Lakes School of Management, Gurgaon (4 hours SAS)

Attended-

1) First Big Data Conference -New York sponsored by Aster Data (flight-stay)

https://decisionstats.com/2011/06/24/interview-first-big-data-conference/

2) Data Mining 2009 Sponsored by SAS Institute ( flight-stay)

https://decisionstats.com/2009/10/24/sas-data-mining-2009-las-vegas/

3) Judged hackathon in New York

 

 

 

View at Medium.com

Awards-

1) Blogger of the Week Social Media Collective http://socialmediatoday.com/SMC/67268

2) Member of the Month (2 times) on Analyticbridge  $250 awarded twice

http://www.analyticbridge.com/group/memberofthemonth/forum/topics/ajay-ohri-february-2009

WRITING

Edureka.co

Top Data Science Interview Questions For Budding Data Scientists

http://www.edureka.co/blog/interview-questions/top-data-science-interview-questions-for-budding-data-scientists/

Analyticstraining.com

1. Planning to build a career in analytics – SAS learning is important
2. A Simple Analysis using R
3. Why every business analyst needs to learn R?
4. SAS Institute and friends in the business analytics industry
5. SAS Training
6. Analytics Training Part 2- What to look for in a business analytics course?
7. Analytics Training-Part 1
8. Need for Analytics in a MBA
9. Career as an independent analytics consultant
10. Why do some organizations still shy away from analytics?
11. Executing Analytics Projects
12. Some Good Code Habits in SAS Language Programming
13. Finding An Analytics Job
14. New analytical tools to watch out for
15. How is analytics critical to business?
16. Top Learning Resources to mastering the SAS language
17. 10 tips to accelerate your career in analytics
18. What is business analytics?

Coolavenues.com

1. A Career in Internet Marketing
   
2. A Career in Marketing Financial Products
3. A Career in Supply Chain Management
4. A Career in Marketing Automobiles
5. Career in Business Consulting, Exciting yet rewarding
6. A Career in FMCG Sales & Market
7. A Career in Private Equity & Venture Capital
8. Make a promising career in Database Mining & Analytics
9. Summer Internship and Market Research Projects
10. Choosing a Coaching Institute for MBA Entrance Exams
11. The Truth about Indian Business Schools

Adaptive Systems Blog

1. Selecting the Right Software for Data Analytics and Data Integration Sep 2014 http://adaptivesystemsinc.com/blog/selecting-right-software-data-analytics-data-integration/

2. Predictive Analytics: Moving beyond the buzzword to the action June 2014 http://adaptivesystemsinc.com/blog/predictive-analytics-moving-beyond-buzzword-action/

1. Data Integration and Data Cleaning Software http://adaptivesystemsinc.com/blog/data-integration-data-cleaning-software-reviews/
2. From Napoleon to Tableau: A Brief History of Data Visualization as it evolved  May 14, 2015

5.The Difference Between Econometric Modeling and Machine Learning  April 7, 2015

1. Microsoft buys itself an analytical Revolution… February 17, 2015

7.An Adaptive Approach for Handling Messy Big Data  August 12, 2014

 

100 + interviews done in technology (see list at http://goo.gl/U5z7Li )

StatisticsViews

1. Interview John Sall co-founder SAS and JMP http://www.statisticsviews.com/details/feature/8180721/Writing-code-helps-me-to-understand-the-development-process-so-that-I-can-make-b.html
2. Interview Bradley Jones JMP http://www.statisticsviews.com/details/feature/8510051/For-me-the-fun-of-working-with-scientists-and-engineers-is-helping-them-generate.html
3. Python Tutorial http://www.statisticsviews.com/details/feature/8868901/A-Tutorial-on-Python.html
4. SAS Tutorial http://www.statisticsviews.com/details/feature/9692841/A-Tutorial-on-SAS-language.html

 

All Analytics

1. Downsides Dampen Open-Source Analytics http://www.allanalytics.com/author.asp?section_id=1408&doc_id=233454 September 2011

IBM BigData

1. Big Data Initiatives in Developing Nations
   http://www.ibmbigdatahub.com/blog/big-data-initiatives-developing-nations

 

KDNuggets

1. Interview: Ingo Mierswa, RapidMiner CEO on “Predaction” and Key Turning Points June 2014

2. Guide to Data Science Cheat Sheets 2014/05/12

3. Book Review: Data Just Right 2014/04/03
4. Exclusive Interview: Richard Socher, founder of etcML, Easy Text Classification Startup 2014/03/31
5. Trifacta – Tackling Data Wrangling with Automation and Machine Learning 2014/03/17
6. Paxata automates Data Preparation for Big Data Analytics 2014/03/07
7. etcML Promises to Make Text Classification Easy  2014/03/05
8. Wolfram Breakthrough Knowledge-based Programming Language – what it means for Data Science? 2014/03/02
9. Using Python and R Together Dec 2015
10. Interview: Florian Douetteau, Dataiku Founder, on Empowering Data ScientistsJuly 2016

Programmable Web

Keen IO Helps Developers Solve Custom Analytics Needs	06-09-2014
Scoreoid Aims to Gamify the World Using APIs	01-27-2014
Plot.ly’s Plot to Visualize More Data	01-22-2014
LumenData’s Acquisition of Algorithms.io is a Win-Win	01-08-2014
Yactraq API Sees Huge Growth in 2013	01-06-2014
Scrape.it Describes a Better Way to Extract Data	12-20-2013
Exclusive Interview: App Store Analytics API	12-04-2013
APIs Enter 3d Printing Industry	11-29-2013
PW Interview: José Luis Martinez of Textalytics	11-06-2013
PW Interview Simon Chan PredictionIO	11-05-2013
PW Interview: Scott Gimpel Founder and CEO FantasyData.com	10-23-2013
PW Interview Brandon Levy, cofounder and CEO of Stitch Labs	10-08-2013
PW Interview: Jolo Balbin Co-Founder Text Teaser	09-18-2013
PW Interview:Bob Bickel CoFounder Redline13	07-29-2013
PW Interview : Brandon Wirtz CTO Stremor.com	07-04-2013
PW Interview: Andy Bartley, CEO Algorithms.io	06-04-2013
PW Interview: Francisco J Martin, CEO BigML.com	05-30-2013
PW Interview: Tal Rotbart Founder- CTO, SpringSense	05-28-2013
PW Interview: Jeh Daruwala CEO Yactraq API, Behavorial Targeting for videos	05-13-2013
PW Interview: Michael Schonfeld of Dwolla API on Innovation Meeting the Payment Web	05-02-2013
PW Interview: Stephen Balaban of Lamda Labs on the Face Recognition API	04-29-2013
PW Interview: Amber Feng, Stripe API, The Payment Web	04-24-2013
PW Interview: Greg Lamp and Austin Ogilvie of Yhat on Shipping Predictive Models via API	04-22-2013
Google Mirror API documentation is open for developers	04-18-2013
PW Interview: Ricky Robinett, Ordr.in API, Ordering Food meets API	04-16-2013
PW Interview: Jacob Perkins, Text Processing API, NLP meets API	04-10-2013
Amazon EC2 On Demand Windows Instances -Prices reduced by 20%	04-08-2013
Amazon S3 API Requests prices slashed by half	04-03-2013
PW Interview: Stuart Battersby, Chatterbox API, Machine Learning meets Social	04-02-2013
PW Interview: Karthik Ram, rOpenSci, Wrapping all science APIs	03-20-2013
Viralheat Human Intent API- To buy or not to buy	03-13-2013
Interview Tammer Kamel CEO and Founder Quandl	03-07-2013
YHatHQ API: Calling Hosted Statistical Models	03-04-2013
Quandl API: A Wikipedia for Numerical Data	02-25-2013
Amazon Redshift API is out of limited preview and available!	02-18-2013
Windows Azure Media Services REST API	02-14-2013
Data Science Toolkit Wraps Many Data Services in One API	02-11-2013
Diving into Codeacademy’s API Lessons	01-31-2013
Google APIs finetuning Cloud Storage JSON API	01-29-2013
Interview Hilary Mason Chief Scientist bitly	01-28-2013
Interview: Viralheat CEO Raj Kadam on API Growth	01-22-2013
Google Compute API – Affordable Computing at Google Scale	01-17-2013
Ergast API Puts Car Racing Fans in the Driver’s Seat	12-05-2012
Springer APIs- Fostering Innovation via API Contests	11-20-2012
Statistically programming the web – Shiny,HttR and RevoDeploy API	11-19-2012
Google Cloud SQL API- Bigger ,Faster and now Free	11-12-2012
A Look at the Web’s Most Popular API -Google Maps API	10-09-2012
Cloud Storage APIs for the next generation Enterprise	09-26-2012
Last.fm API: Sultan of Musical APIs	09-12-2012
Socrata Data API: Keeping Government Open	08-29-2012
BigML API Gets Bigger	08-22-2012
Bing APIs: the Empire Strikes Back	08-15-2012
Google Cloud SQL: Relational Database on the Cloud	08-13-2012
Google BigQuery API Makes Big Data Analytics Easy	08-07-2012
Your Store in The Cloud -Google Cloud Storage API	08-01-2012
Predict the future with Google Prediction API	07-30-2012
The Romney vs Obama API