Adarsh Shubham
About Adarsh Shubham
Adarsh Shubham is a Business Analyst currently employed at Vahan in Bengaluru, India, where he has worked since 2022. He has a background in both computer engineering and business management, with experience in various roles across multiple companies.
Work at Vahan
Adarsh Shubham has been employed at Vahan as a Business Analyst since 2022. In this role, he is based in Bengaluru, Karnataka, India. His responsibilities include analyzing data to support business operations and improve decision-making processes. Adarsh's experience at Vahan has contributed to his expertise in data analysis and its application in a business context.
Previous Experience
Before joining Vahan, Adarsh Shubham worked at several organizations in various capacities. He served as a Business Analyst at Supr Daily for four months in 2022 and as a Product Engineer at Smart Energy Water for one month in the same year. Additionally, he worked as a Business Analyst at Urban Company for three months in 2021 and completed an internship at School Icon for one month in 2021. His early career included a trainee position at Zillious Solutions from 2019 to 2020.
Education and Expertise
Adarsh Shubham holds a Master of Business Administration (MBA) with a focus on Operations Management and Supervision from Thapar School of Management, which he completed from 2021 to 2022. He also earned a Bachelor of Engineering (BE) in Computer Engineering from Thapar Institute of Engineering & Technology, graduating in 2021. His educational background equips him with a blend of technical and managerial skills.
Background
Adarsh Shubham has a diverse background that combines technical knowledge and business acumen. His studies in computer engineering and business management allow him to approach problems from both a technical and managerial perspective. This unique combination supports his passion for data analysis and drives his efforts to enhance business operations.
Data Analysis Skills
Adarsh possesses a strong passion for data analysis, which is evident in his professional roles. He has demonstrated the ability to translate complex data into actionable insights, thereby enhancing decision-making processes within organizations. His skills in data analysis contribute to continuous improvement in business operations.