Piyush Kunal
About Piyush Kunal
Piyush Kunal is a Business Intelligence Developer currently working at Rally Health in Chicago, Illinois. He has a diverse educational background and has held various positions in business intelligence and data analysis across multiple companies, including PayPal and Infosys.
Current Role at Rally Health
Piyush Kunal currently serves as a Business Intelligence Developer at Rally Health. He has held this position since 2018, contributing to the company's data-driven decision-making processes. His role involves analyzing complex data sets and developing insights that support healthcare initiatives. He is based in Chicago, Illinois.
Previous Experience at PayPal
In 2017, Piyush Kunal completed a three-month internship at PayPal as a Quality and Data Analyst within the Site Reliability Engineering team. This role was based in San Jose, California, where he gained experience in ensuring the reliability and performance of PayPal's systems.
Consulting Experience at Capgemini
Piyush worked as a Consultant at Capgemini for one month in 2018. His role was based in Charlotte, North Carolina. This position allowed him to apply his analytical skills in a consulting environment, contributing to various client projects.
Educational Background
Piyush Kunal has a diverse educational background. He studied at Delhi Public School from 2004 to 2006 and later attended Jaypee University of Information Technology from 2007 to 2011, where he earned his bachelor's degree. He also completed his master's degree at the University of Texas at Arlington from 2016 to 2017. Additionally, he has studied at Jaypee Institute of Information Technology and University of Engineering & Technology.
Experience at Infosys
Piyush Kunal has significant experience at Infosys, where he worked as a Business Intelligence Analyst from 2013 to 2015 and as a Product Consultant and Business Analyst from 2012 to 2013. His tenure at Infosys, based in Bengaluru, Karnataka, India, provided him with a strong foundation in business intelligence and data analysis.