Sayee Raghavan R
About Sayee Raghavan R
Sayee Raghavan R is a Junior Machine Learning Engineer currently working at Mad Street Den in Chennai, Tamil Nadu, India. He has a background in data science and has held various roles in machine learning and analytics since 2018.
Current Role at Mad Street Den
Sayee Raghavan R currently serves as a Junior Machine Learning Engineer at Mad Street Den, a position held since 2021. In this role, Sayee contributes to the development and implementation of machine learning models and algorithms. The work involves collaborating with cross-functional teams to enhance product offerings and improve data-driven decision-making processes.
Previous Experience in Machine Learning
Prior to the current role, Sayee Raghavan R worked at Mad Street Den in various capacities related to machine learning. Sayee started as a Machine Learning Intern from 2019 to 2020 for five months, followed by a position as a Machine Learning Trainee from 2020 to 2021 for eleven months. These roles provided foundational experience in machine learning applications and project execution.
Experience as a Junior Analyst
In 2018, Sayee Raghavan R worked as a Junior Analyst at JPMorgan Chase & Co. for six months in the Mumbai Area. This position involved analyzing data and supporting decision-making processes within the organization, contributing to the development of analytical skills and business acumen.
Internship at SportsMechanics India Pvt Ltd
Sayee Raghavan R completed a Business Analyst Internship at SportsMechanics India Pvt Ltd in 2019 for two months in Chennai, Tamil Nadu. This internship provided exposure to business analysis practices and helped in understanding the intersection of sports and technology.
Education in Data Science
Sayee Raghavan R earned a Master's degree in Data Science from PSG College of Technology, studying from 2015 to 2020. This academic background provided a solid foundation in data analysis, machine learning, and statistical methods, equipping Sayee with the necessary skills for a career in technology and data science.