35+ Years of Experience in Electrical Engineering and Commissioning Sector
Head of Electrical Department at ThyssenKrupp
Mr. Sharad Pustake
38+ Years of Experience
Sr. Consultant & Advisor for Ministry of New & Renewable Energy (Government of India)
Mr. Vinayak Madhekar
35+ Years of Experience in Energy Auditing.
Accredited Energy Auditor (Bureau of Energy Efficiency, Government of India)
Mr. Pramod Patil
30+ Years of Experience
General Manager for Operation & Maintenance at Suzlon Energy Ltd
HOD of R & D Department – Enercon India Ltd.
Mr. G.N. Prabhu
43 years of Experience, Retired as "Director Engineering" from Jacobs Engineering India Pvt. Ltd.
He had been overseeing the co-ordinated functions of the six Engineering Groups to achieve the ideal goal of Zero-Error Engineering
He looked after the Piping Group on various Chemical and petro-chemical projects
Dr. Manish Gupte
16+ years of experience
Inventor on Granted Patent
Worked on Retail Analytics at Oracle Boston
Presented paper at Western Economic Association Conference in San Francisco in the year of 2012
Informs conference paper on Mark Down optimization
Tangent at evening MBA at Grand Valley State University, USA
Owner of a business firm, International Entrepreneurship Center for Boston
Vice President (Analytics) Riverus, India
Data Analytics Consultant & Trainer
Worked as Financial Analyst at MSX Americas working for Ford Credit, USA
Worked as Statistical Consultant at Center for Statistical consulting at MSU
Worked as Teaching Assistant at Dpt. of Statistics and Probability, MSU, USA
Worked as Assistant Manager at R & D Center, TATA Motors Ltd., India
Mr. Rupesh Shivsharan
Data scientist experienced in developing data driven solutions to drive business results.
Bachelor of Engineering (B.E.) from Pune university in 2009.
MS in Information System Management from De Mont Fort University - England United Kingdom in 2011.
Created practical predictive models with statistical and machine learning methods including decision tree, random forests, generalized linear models(logistic regression) and cluster analysis to solve business problems.