Siddhartha Chatterjee

Siddhartha Chatterjee

Statistical Analyst Assistant @ Yale University

About Siddhartha Chatterjee

Siddhartha Chatterjee is a Statistical Analyst Assistant at Yale University, where he also serves as a Graduate Teaching Assistant. He has a background in data engineering and holds a Bachelor of Technology in Computer Science from Vellore Institute of Technology and a Master of Science in Statistics and Data Science from Yale University.

Current Role at Yale University

Siddhartha Chatterjee serves as a Statistical Analyst Assistant at Yale University, a position he has held since 2022. In this role, he focuses on data analysis and statistical modeling, contributing to various projects within the university. Additionally, he works as a Graduate Teaching Assistant, where he supports faculty in delivering coursework related to statistics and data science.

Previous Experience at Amazon

Chatterjee has a substantial background in data engineering, having worked at Amazon in various capacities. He started as a Data Engineer Intern in 2018 for seven months, followed by a role as Data Engineer from 2018 to 2020 in Hyderabad, India. He later advanced to the position of Data Engineer II, where he worked for eight months from 2020 to 2021. His experience at Amazon involved utilizing data engineering techniques to manage and analyze large datasets.

Educational Background

Siddhartha Chatterjee completed his Bachelor of Technology (BTech) in Computer Science at Vellore Institute of Technology from 2014 to 2018. He furthered his education by pursuing a Master of Science (MS) in Statistics and Data Science at Yale University from 2021 to 2023. His academic background provides a strong foundation in both computer science and data analytics.

Technical Skills and Interests

Chatterjee explores various technologies related to data engineering, warehousing, and mining. He is proficient in using AWS, Python, and Linux for data-related tasks. His keen interest lies in staying updated with the latest advancements in data science, which reflects his commitment to continuous learning and professional development.

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