Sharad Rohra
About Sharad Rohra
Sharad Rohra is an Associate Product Manager at Impact Analytics, where he has held various roles including Data Scientist and Data Science Lead. He holds a Bachelor of Technology in Mechanical and Automotive Engineering from Delhi College of Engineering and is currently pursuing a PGP in Business Administration at the Indian School of Business.
Work at Impact Analytics
Sharad Rohra has held multiple positions at Impact Analytics, starting as a Data Scientist from 2018 to 2019 in Bengaluru, Karnataka, India. He contributed to the development of a replenishment algorithm during this time. He then progressed to the role of Senior Data Scientist from 2020 to 2021, where he continued to enhance his expertise in data science. Rohra served as Data Science Lead from 2021 to 2022, leading significant projects, including the development of an inventory auto-restocking product for global retail clients. Currently, he is working as an Associate Product Manager since 2023.
Education and Expertise
Sharad Rohra completed his Bachelor of Technology (BTech) in Mechanical and Automotive Engineering at Delhi College of Engineering from 2014 to 2018. He also studied at Adarsh Vidyalaya in Raipur, where he achieved his high school education. Rohra is currently pursuing a Post Graduate Program (PGP) in Business Administration and Management at the Indian School of Business, expected to complete in 2025. His educational background supports his expertise in product management and data science.
Background
Before his tenure at Impact Analytics, Sharad Rohra worked as a Training & Internship Facilitator at Delhi College of Engineering from 2016 to 2017 and as a Placement Coordinator from 2017 to 2018. He also had a brief experience as an Engine Maintenance Trainee at Air India Limited in 2016. His diverse background in education and early career roles has contributed to his development in the fields of engineering and data science.
Achievements
Sharad Rohra received a spot award for his innovation in creating a unique replenishment algorithm that projects inventory positions for 100,000 products up to six months in advance. This achievement highlights his capability in developing advanced data-driven solutions. Additionally, he led the development of an inventory auto-restocking product tailored for major retail giants, showcasing his leadership in product development within the analytics domain.