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 the 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,
I started my career with Mu Sigma Inc (the world’s largest worldwide analytics provider) and worked there for two and a 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
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 authored a book on Decision Science for
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
Thanks a ton 🙂