Rayan Soundardjee
About Rayan Soundardjee
Rayan Soundardjee is a data scientist with a background in predictive modeling and optimization. He has worked at various companies, including RBC, OMD USA, and State Auto Insurance, and currently serves as a data scientist at Swish Analytics.
Work at Swish
Rayan Soundardjee has been employed at Swish Analytics as a Data Scientist since 2022. In this role, he focuses on predictive modeling and optimization, applying his expertise to enhance data-driven decision-making processes. His work contributes to the company's mission of leveraging analytics in sports and other domains.
Previous Experience in Data Science
Prior to his current position, Rayan Soundardjee worked at OMD USA as a Senior Associate in Data Science from 2021 to 2022. He also held the role of Software Engineer at State Auto Insurance for 7 months in 2020. Earlier in his career, he served as an Associate Credit Analyst at RBC for 3 months in 2018. These roles provided him with diverse experiences in data analysis and software development.
Education and Expertise
Rayan Soundardjee holds a Master of Science in Operations Research from Columbia University, where he studied from 2019 to 2020. He earned his Bachelor of Science in Mathematics, Physics, and Statistics from the University of Toronto, completing his studies from 2015 to 2019. His academic background supports his specialization in predictive modeling and optimization within data science.
Independent Projects in Sports Analytics
Rayan Soundardjee has pursued independent projects that focus on sports analytics and the study of games. These projects reflect his interest in applying data science to sports, aligning with his aspiration to contribute to a sports team and help them win a championship.
Technical Skills and Proficiencies
Rayan Soundardjee is proficient in Python, utilizing various statistics and data science libraries. He is also skilled in SQL, which enhances his ability to manage and analyze data effectively. His technical skills are integral to his work in data science and analytics.