Riya Dhar
About Riya Dhar
Riya Dhar is a Data Scientist III at Turing, where she designs and implements data-driven solutions using machine learning and statistical methods. With a background in electronics and communications engineering, she has held various engineering and data science roles across multiple organizations, including a research position at MIT.
Current Role as Data Scientist III
Currently, Riya Dhar holds the position of Data Scientist III at Turing, where she has been employed since 2023. In this role, she is responsible for designing and implementing data-driven solutions. She leverages machine learning and statistical methods to address complex business challenges, utilizing her diverse background to deliver insightful results.
Previous Experience at Turing
Riya Dhar previously worked at Turing as a Data Scientist II from 2023 for six months and as a Data Scientist from 2021 to 2023 for two years. During her tenure, she contributed to various projects that involved developing data-driven strategies and solutions, enhancing her expertise in the field of data science.
Educational Background in Electronics and Communications Engineering
Riya Dhar earned her Bachelor of Technology in Electronics and Communications Engineering from Vellore Institute of Technology, completing her studies from 2016 to 2020. This educational foundation provided her with essential knowledge and skills applicable to her career in data science and engineering.
Experience in Embedded Systems and Software Engineering
Riya has a background in embedded systems and software engineering. She worked as an Embedded System Engineer at 1byZeroLabs for one month in 2018 and as an Embedded Design Engineer at Ashva for two months in 2019. Additionally, she contributed to software development at Symbionic as a Software Engineer for one month in 2021.
Research Experience at Massachusetts Institute of Technology
Riya Dhar served as a Visiting Researcher at the Massachusetts Institute of Technology for six months in 2020. This role allowed her to gain exposure to advanced research in data science, further enhancing her knowledge and skills in the field.