Jayesh Kothari
About Jayesh Kothari
Jayesh Kothari is a Senior Lead Analyst at Infosys Poland, with a background in data analytics and experience in requirement gathering and feasibility analysis. He has previously worked at CouponDunia and Syntel, where he contributed to database design and reporting processes.
Work at Infosys Poland
Currently, Jayesh Kothari holds the position of Senior Lead Analyst at Infosys Poland. His tenure began in 2021 and continues to the present. In this role, he applies his extensive experience in data analytics to support various projects and initiatives within the organization.
Previous Experience at CouponDunia
Jayesh Kothari worked at CouponDunia as a Senior Data Analyst for 11 months from 2015 to 2016 in the Mumbai Area, India. During his time there, he played a key role in designing a database using MongoDB and Amazon AWS to capture business transactions from multiple sources. He was also instrumental in creating a new reporting factory that was utilized by multiple teams and verticals.
Career at Syntel Limited
Jayesh Kothari began his career at Syntel Limited, where he worked as a Data Analyst from 2012 to 2015 in the Mumbai Area, India. He achieved a fast-tracked career progression, advancing to the role of Business Analyst in less than two years, demonstrating his capabilities in data analysis and project management.
Education and Expertise
Jayesh Kothari earned a Bachelor's Degree in Computer Software Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya, studying from 2007 to 2011. He further enhanced his expertise by completing an Executive Program in Advanced Business Analytics at the Indian Institute of Management Ahmedabad from 2017 to 2018. His educational background supports his proficiency in data analytics and business intelligence.
Technical Skills and Tools
In his current role at Infosys BPM, Jayesh Kothari utilizes various tools for data analytics, including Tableau Desktop & Server, MS Power BI, and R. His technical skills enable him to conduct requirement gathering and feasibility analysis for data analytics projects effectively.