About Me

Hello there,

My name is Jojo, I am Research Scientist (A.I) currently working with Amazon Web Service in Vancouver, BC.

I was born & raised in Pune (Maharashtra, India) and graduated from University of Pune with a major in Information Technology Engineering. I moved to Bangalore in 2013 to start my career in Big Data Analytics and Machine Learning and then to Vancouver in 2018.  I authored a book on Decision Science for IoT in July 2016 and is now available, world-wide.

Picture1I started my career with Mu Sigma Inc (the world’s largest pure play analytics provider) and worked there for  two and half  years. Later, I joined a fast growing analytics product startup called Flutura in their Bangalore office which focuses on providing IoT analytics mainly for the Oil & Gas, Manufacturing and  Energy industries.  After a short stint with Flutura, I moved on to join GE, the pioneer and leader in Industrial IoT and continued a 2 year stint with the GE Digital horizontal.

I am currently working with Amazon, the leader of e-commerce and cloud computing; I focus of researching and developing data-driven solutions with Machine Learning and Deep Learning to combat fraud and enrich the customer journey with Payments in the cloud.

My experience as an Analytics Professional is spread across multiple industry verticals and horizontals. I have mainly worked with fortune 500 clients of Pharmaceutical, Technology, Telecom, Oil & Gas and Retail Energy verticals to provide analytical solutions for Business problems. I am passionate about teaching and writing and have already authrored a book on Decision Science for Internet of Things. I also blog, you can find a few of my articles published over Linkedin Pulse and here

I also review technical books on Business Analytics, Machine Learning and Deep Learning. I work with Apress as well as Packt Publications as a Tech Reviewer.

Hobbies : Hiking, photographing, Hindi music, blogging, teaching


Area of focus Industrial Artificial Intelligence, Machine Learning, Deep Learning, Decision Science
Programming   R, Python, SAS, SQL, Shell, C
Big Data Stack  Hadoop, MapReduce, Hive, Pig, Mahout
Tools   MS Excel, Adobe Photoshop,
Statistical Techniques   Linear Regression, Logistic Regression, Multinomial Logitic Regression , KMeans
Machine Learning   Random Forest, XG Boosting, Support Vector Machines, Neural Networks
Deep Learning  CNN, RNN, DNN, Autoencoders


You can reach out to me on

Facebook, Twitter, Linkedin, Quora and Google Plus


Thanks a ton 🙂