Sahil Kumar

Sahil Kumar

Senior Analyst, Strategy & Operations @ HighRadius

About Sahil Kumar

Sahil Kumar is a Senior Analyst in Strategy & Operations at HighRadius, where he has worked since 2024. He has a background in mechanical engineering and has held various roles in organizations such as Accenture Japan and Prodo, focusing on operations, strategy, and data analysis.

Work at HighRadius

Sahil Kumar has been employed at HighRadius as a Senior Analyst in Strategy & Operations since 2024. He is based in Hyderabad, Telangana, India, and has been in this role for six months. His responsibilities include analyzing and optimizing operational strategies to enhance business performance.

Previous Experience

Prior to his current role, Sahil Kumar worked at Prodo as part of the Founder’s Office from 2023 to 2024, where he spearheaded multiple organization-level projects in operations, strategy, and growth within the B2B manufacturing and procurement industry. He also served as a Technology Consultant at Accenture Japan from 2021 to 2023, and held various positions at Saarang, including QMS Core, Sponsorship Coordinator, and Creative and Media Coordinator.

Education and Expertise

Sahil Kumar earned his Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Madras, where he studied from 2017 to 2021. He also participated in a Semester Exchange program at Instituto Superior Técnico. His technical skills include proficiency in programming languages such as Python, R, and Google Appscript, along with strong presentation and data analysis abilities.

Implementation of Kaizen Philosophy

Sahil Kumar has implemented the Japanese business philosophy 'Kaizen' in both his professional and personal life. This approach focuses on continuous improvement and efficiency, which he applies to achieve his goals and enhance productivity in his work.

Machine Learning and Statistical Modeling

During his career, Sahil Kumar developed an enterprise-level machine learning and statistical model aimed at predicting failures in industrial machinery. This project reflects his expertise in data analysis and machine learning applications within the industrial sector.

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