Hrishikesh Jainak
About Hrishikesh Jainak
Hrishikesh Jainak is a Data Science Lead at Impact Analytics in Bengaluru, India, with a Master's degree in Industrial Engineering & Management from the Indian Institute of Technology, Kharagpur. He has extensive experience in data science and operations research, having previously worked at EY and Ramco Systems.
Work at Impact Analytics
Hrishikesh Jainak serves as a Data Science Lead at Impact Analytics, a position he has held since 2021. He is based in Bengaluru, Karnataka, India. In this role, he applies his expertise in data science to lead projects and develop solutions that leverage data for business insights. His responsibilities include overseeing data analysis, model development, and the implementation of data-driven strategies.
Education and Expertise
Hrishikesh Jainak earned a Master's degree in Industrial Engineering & Management from the Indian Institute of Technology, Kharagpur, where he studied from 2007 to 2014. His educational background provides a strong foundation in analytical and quantitative skills, which are essential in his current role. He also has a background in mathematics, which supports his interest in formulating and solving mathematical problems.
Professional Background
Before joining Impact Analytics, Hrishikesh Jainak worked at EY as a Consultant from 2019 to 2021 in Pune, Maharashtra, India. Prior to that, he was an Operations Research Consultant at Ramco Systems for 11 months in Chennai, Tamil Nadu, India. His career began as a Product Developer at White Data Systems India Pvt Ltd in Bengaluru, where he worked for 7 months in 2017. He has accumulated over a year of experience as an Operations Research Analyst, focusing on mathematical problem-solving.
Career Progression
Hrishikesh Jainak's career has progressed through various roles in data science and operations research. He transitioned from a Product Developer to an Operations Research Consultant, and then to a Consultant at EY. His current role as Data Science Lead at Impact Analytics reflects his growth in the field and his ability to apply his analytical skills to complex data challenges.