Himanshu Parihar
About Himanshu Parihar
Himanshu Parihar is a data analyst with a strong background in electronics and communications, holding a Bachelor's degree from Mahakal Institute of Technology and a Master's degree in Information Technology from the University of North Carolina at Charlotte. He has extensive experience in SQL and ETL technologies, and has worked in risk management at Goldman Sachs before joining Cloud BigData Technologies Group.
Work at Cloud BigData Technologies Group
Himanshu Parihar has been employed as a Data Analyst at Cloud BigData Technologies Group since 2019. In this role, he utilizes his analytical skills to manage and interpret complex data sets. His responsibilities include data analysis, reporting, and contributing to data-driven decision-making processes within the organization. His tenure at Cloud BigData Technologies Group has allowed him to further develop his expertise in data analysis and ETL technologies.
Experience at Goldman Sachs
Prior to his current position, Himanshu Parihar worked as a Risk Management Analyst at Goldman Sachs for eight months in 2018. During his time in the Greater Salt Lake City Area, he gained valuable experience in the Investment Management division, specifically within the Private Equity Group. His role involved analyzing risk factors and contributing to the overall risk management strategy of the firm.
Education and Expertise
Himanshu Parihar earned his Bachelor of Engineering in Electronics and Communications from Mahakal Institute of Technology, where he studied from 2011 to 2015. He later pursued a Master's degree in Information Technology at the University of North Carolina at Charlotte, completing his studies from 2016 to 2017. His educational background has equipped him with extensive knowledge in data analysis, SQL, and ETL technologies such as SSIS, SSMS, and SSRS.
Analytical Skills and Problem-Solving Abilities
Himanshu Parihar is recognized for his strong analytical, troubleshooting, and problem-solving skills. He demonstrates a goal-oriented approach and is well-organized in his work. His ability to write ad hoc SQL queries for data analysis showcases his proficiency in handling complex data sets and deriving actionable insights.