Onkar D.
About Onkar D.
Onkar D. is the Head of AI & Data at Turing.com and an Academic Board Member at Turing College. With over 10 years of experience in machine learning and data science, he has held significant roles at LinkedIn and Technicolor, and has a strong academic background from the Indian Institute of Technology, Bombay and Stanford University.
Current Role at Turing
Onkar D. serves as the Head of AI & Data at Turing.com, a position he has held since 2022. In this role, he leads a team of engineers and researchers focused on solving complex problems through advanced techniques. He is also an Academic Board Member at Turing College, a role he has undertaken since 2023, where he supports the mission to establish the largest online AI college globally. His work at Turing emphasizes creating innovative solutions aimed at enhancing product performance and user experience.
Professional Experience
Onkar D. has over 10 years of experience in the fields of machine learning, data mining, and data science. His career includes significant roles such as Staff Software Engineer, AI at LinkedIn from 2013 to 2016, and Director of Engineering, AI at LinkedIn from 2017 to 2022. He also worked as a Research Intern at Technicolor and Yahoo! in 2011 and 2012, respectively, and completed a fellowship at Insight Data Science in 2012. His diverse experience spans various aspects of AI and data engineering.
Education and Expertise
Onkar D. holds a Bachelor and Master of Technology from the Indian Institute of Technology, Bombay. He further advanced his studies at Stanford University, where he earned a PhD and MS in Computational Math & Statistics. His academic background provides a strong foundation for his expertise in developing optimization algorithms and statistical models, which he applied during his doctoral studies.
Research and Development Contributions
Throughout his career, Onkar D. has contributed to the development of machine learning and data science solutions tailored for marketplaces. His leadership at Turing involves guiding teams in the application of cutting-edge techniques to address complex challenges. His research experience includes the development of optimization algorithms and statistical models during his PhD studies, which are critical in advancing AI methodologies.