Meghna Venkatesha

Meghna Venkatesha

Data Engineer | Bi Engineer @ Ally

About Meghna Venkatesha

Meghna Venkatesha is a Data Engineer and BI Engineer currently working at Ally in the United States since 2021.

Title

Meghna Venkatesha is currently a Data Engineer and BI Engineer at Ally.

Current Role at Ally

Meghna Venkatesha has been working at Ally in the United States as a Data Engineer and BI Engineer since 2021. She contributes to the company's data management and business intelligence efforts.

Previous Experience at Procter & Gamble

Meghna Venkatesha worked at Procter & Gamble from 2020 to 2021 in Cincinnati, Ohio. She served as a Technical Design Lead and Data Engineer, playing a key role in technical design and data engineering projects.

Experience at Daimler Trucks North America

From 2019 to 2020, Meghna Venkatesha was employed at Daimler Trucks North America in the Portland, Oregon area. Her role as a Data Engineer involved managing and analyzing data to support various functions within the company.

Internship at Sunmagik INC

Meghna Venkatesha interned at Sunmagik INC in the Greater Atlanta Area for three months in 2018. As a Software Engineer Intern, she gained valuable hands-on experience in software engineering.

Educational Background

Meghna Venkatesha holds a Master of Science (MS) in Computer Science from Northeastern University, completed between 2017 and 2019. She also earned a Bachelor of Engineering (B.E.) in Computer Science and Engineering from Vivekananda Institute Of Technology, where she studied from 2011 to 2015.

Role at QuintilesIMS Asia Pacific

Meghna Venkatesha worked as an Associate Software Engineer at QuintilesIMS Asia Pacific in Bangalore, India, from 2015 to 2017. Over these two years, she was involved in various software engineering projects and tasks.

Research Internship at Indian Institute of Science

From 2014 to 2015, Meghna Venkatesha was a Research Intern at the Indian Institute of Science in Bengaluru. She participated in research projects, gaining experience in the field of computer science research.

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