Devaj Kumar Sutapalli

Quantitative Developer @ Ellington Management Group

About Devaj Kumar Sutapalli

Devaj Kumar Sutapalli is a Quantitative Developer at Ellington Management Group, with previous experience as a Technical Solutions Consultant Intern at Google and a Technology Analyst at JPMorgan Chase & Co. He holds advanced degrees in Data Science from Carnegie Mellon University and a Bachelor's in Computer Science from Chaitanya Bharathi Institute Of Technology.

Work at Ellington Management Group

Devaj Kumar Sutapalli has been employed at Ellington Management Group as a Quantitative Developer since 2020. His role involves applying quantitative analysis and development skills to support the firm's investment strategies. Sutapalli's work contributes to the firm's focus on data-driven decision-making in the financial sector.

Previous Experience at Google

Sutapalli interned at Google in 2019 as a Technical Solutions Consultant for three months in New York, New York. During this internship, he gained experience in technical problem-solving and client solutions, enhancing his skills in a fast-paced technology environment.

Background at JPMorgan Chase & Co.

Before joining Ellington Management Group, Sutapalli worked as a Technology Analyst at JPMorgan Chase & Co. from 2015 to 2017 in the Mumbai Area, India. His responsibilities included supporting technology solutions and contributing to various projects within the financial services sector.

Education and Expertise

Sutapalli holds a Master's degree from Carnegie Mellon University, which he completed from 2018 to 2019. He also earned a PG Diploma in Data Science from the International Institute of Information Technology Bangalore in 2018. His undergraduate studies culminated in a Bachelor of Engineering in Computer Science from Chaitanya Bharathi Institute Of Technology, completed in 2015.

Technical Skills and Proficiencies

Devaj Kumar Sutapalli possesses a comprehensive understanding of both relational and NoSQL databases, with proficiency in MySQL and MongoDB. He is experienced with cloud services, particularly AWS components such as EC2, S3, EMR, and RDS. Additionally, he utilizes advanced frameworks like Concordion and Spring Batch, indicating expertise in automated testing and batch processing.

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