Piyush Bishnoi
About Piyush Bishnoi
Piyush Bishnoi is a Product Analyst with experience in data-driven decision-making and data visualization. He has worked at various companies, including Stanley Black & Decker and Mu Sigma Inc., and holds a Bachelor of Technology in Electronics and Communication Engineering and a degree in Business Analytics.
Current Role at QuinStreet
Piyush Bishnoi serves as a Product Analyst at QuinStreet since 2021. In this role, he is responsible for collaborating with business stakeholders to identify client business problems and requirements. His work facilitates data-driven decision-making processes within the organization. Piyush's expertise in data visualization allows him to deliver quick and actionable insights, which support superior business decisions.
Previous Experience at Stanley Black & Decker
Prior to his current position, Piyush worked at Stanley Black & Decker, Inc. as a Graduate Analytics Consultant for four months in 2020. His role was based in Hartford, Connecticut, where he contributed to analytics projects that informed business strategies. This experience provided him with valuable insights into the application of analytics in a corporate environment.
Internship at QRfertile
In 2020, Piyush completed a two-month internship as a Data Analyst at QRfertile, also located in Hartford, Connecticut. During this internship, he gained practical experience in data analysis, enhancing his analytical skills and understanding of data-driven decision-making in a business context.
Education and Expertise
Piyush holds a Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering from Nirma Institute Of Technology, where he studied from 2012 to 2016. He furthered his education at the University of Connecticut School of Business, earning a degree in Business Analytics and Project Management from 2019 to 2020. This educational background equips him with a strong foundation in both technical and analytical skills.
Experience at Mu Sigma Inc.
Piyush worked at Mu Sigma Inc. as a Decision Scientist from 2016 to 2019. In this role, he was involved in data analytics projects that required critical thinking and problem-solving skills. His experience at Mu Sigma contributed to his development as a data professional, enhancing his ability to analyze complex data sets and provide insights.