Shubh Sharma
About Shubh Sharma
Shubh Sharma is an Analyst currently working at Spinny in Gurugram, Haryana, India. He has a background in Production and Industrial Engineering from the National Institute of Technology Kurukshetra and has held various roles in data analysis and marketing.
Work at Spinny
Shubh Sharma currently works at Spinny as an Analyst. He has been in this role since 2023, contributing to the company's operations in Gurugram, Haryana, India. His responsibilities include performing data analysis to support decision-making processes and enhance operational efficiency.
Previous Experience in Vocational Training
Shubh Sharma has completed vocational training at two prominent organizations. He worked at Indian Oil Corp Limited in 2022 for two months in Panipat, Haryana, where he gained practical experience in the energy sector. Additionally, he served as a Vocational Trainee at Bharat Heavy Electricals Limited for two months in Jhansi, Uttar Pradesh, also in 2022.
Roles at NIT Kurukshetra
At the National Institute of Technology Kurukshetra, Shubh Sharma held multiple roles within the Industry and Entrepreneurship Cell. He served as Secretary from 2022 to 2023, where he oversaw various initiatives. Prior to that, he was the Media and Marketing Head from 2021 to 2022, focusing on promoting the cell's activities. He also worked as an Associate from 2020 to 2021, contributing to projects aimed at fostering entrepreneurship.
Education and Expertise
Shubh Sharma obtained a Bachelor of Technology in Production and Industrial Engineering from the National Institute of Technology Kurukshetra, completing his studies from 2019 to 2023. He specializes in using Python libraries for exploratory data analysis, data modeling, and data visualization. His expertise extends to developing SQL queries for data extraction and utilizing Apache Airflow for data engineering tasks.
Interests in Data Analysis
Shubh Sharma has a strong interest in global supply chains and optimizing them through data analysis. He is passionate about mathematics and enjoys identifying trends and patterns within data sets. His analytical skills are complemented by his technical knowledge, allowing him to derive actionable insights from complex data.