Vishal Bhomia

Business Intelligence Lead at Perch Insights

Vishal Bhomia has extensive work experience in the field of data engineering and software development. Vishal is currently employed at Perch Insights and Full Potential Solutions as a Lead Data Engineer. In these roles, they are responsible for managing and overseeing data engineering projects and teams.

Prior to their current positions, Vishal worked at Standard Chartered Bank as a Data Engineer. During their time there, they gained valuable skills in data warehousing, reporting, ETL, and ELT. Vishal successfully developed and deployed a BI project for finance teams within the company.

Before joining Standard Chartered Bank, Vishal held the role of Senior Software Engineer at Evolent Health. Vishal was later promoted to Lead Data Engineer, where they were responsible for software development and engineering projects. Additionally, they worked as an Associate Consultant at Capgemini, where they gained experience in consulting and project management.

Vishal began their career at Syntel as a Senior Software Engineer. In this role, they managed various aspects of the software development life cycle, including application maintenance, enhancement, and consulting. Vishal also had responsibilities in client interaction, understanding business requirements, and distributing work among team members.

Vishal Bhomia obtained a Bachelor of Technology (B.Tech.) degree in Information Technology from B. K. Birla Institute of Engineering and Technology, which they attended from 2007 to 2011. Prior to that, they attended Birla Senior Secondary School from 1999 to 2007, with no specific degree or field of study mentioned. Additionally, Vishal Bhomia obtained a certification in Machine Learning and Deep Learning from the International Institute of Information Technology Bangalore in February 2020.

Location

Pune, India

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Perch Insights

Perch Insights equips CX professionals with data-driven insights that enable proactive decision-making that increases client lifetime value while lowering customer acquisition and servicing expenses.


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11-50

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