Rohit Lotlikar
Principal Consultant @Tata Consultancy Services
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WORK HISTORY
Principal Consultant @Tata Consultancy Services
Bengaluru, IN
Joined (re-badged to)TCS as part of a strategic outsourcing partnership between former employer (Envestnet-Yodlee) and TCS. Now heading data science & analytics for the Envestnet-Yodlee Investment Research vertical Leading a team of around 30 including data scientists, business analysts and data analysts working with Retail banking transaction data teams developing and maintaining highly reliable large scale data science based solutions in production operating at scale using python, pyspark and SQL on AWS.
EDUCATION
University of Cincinnati
Doctor of Philosophy (Ph.D.), Artificial Intelligence
Indian Institute of Technology, Bombay
B.Tech, Electrical Engg
Indian Institute of Technology, Bombay
Master’s Degree, Electrical, Electronics and Communications Engineering
SKILLS
ABOUT ROHIT LOTLIKAR
I joined Tata Consultancy Services as part of the outsourcing deal between TCS and my former employer Yodlee where TCS took on all of the India based work of Yodlee. I am heading the Data Science and Analytics team for the Investment Research business. I have a Ph.D. in Artificial Intelligence from the University of Cincinnati and a Master\'s Degree in Electrical, Electronics and Communications Engineering from the Indian Institute of Technology, Bombay.With over 20 years of work experience, I have applied analytics in various real-world contexts, such as marketing, human capital, customer experience, and retail. I have built data products for the investment research industry that are used by our customers to make trading decisions based on bank and card transactional data. I have also taught Data Science to working professionals and managed consulting data scientists at the International School of Engineering. I have published 17 papers in conferences and journals and filed 8 patent applications in the field of data mining and decision support systems. My interest and expertise is in investigating and exploiting patterns in data and human behavior to build data-driven decision making/support systems that are robust, compliant, reliable, and scalable.
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