Sri Yogesh K.
About Sri Yogesh K.
Sri Yogesh K. is a Data Scientist currently employed at Toplyne.io in Bengaluru, India, where he has worked since 2022. He has a background in data science and consulting, with previous roles at Udacity, Grab, Coursera, and INSOFE, and holds an MBA from the Indian Institute of Management, Kozhikode.
Work at Toplyne
Sri Yogesh K. has been employed at Toplyne.io as a Data Scientist since 2022. In this role, he contributes to data-driven decision-making processes and leverages his expertise in data science to enhance business outcomes. His work is based in Bengaluru, Karnataka, India, where he applies advanced analytical techniques to solve complex problems.
Previous Experience in Data Science
Prior to joining Toplyne, Sri Yogesh K. worked at several notable organizations. He served as a Data Scientist at Grab from 2021 to 2022, where he focused on data analysis and modeling. Before that, he was a Data Scientist at the International School of Engineering (INSOFE) from 2017 to 2021, contributing to various data science initiatives. He also worked as a Mentor for R programming at Coursera from 2017 to 2018 and as an Independent Consultant at Udacity in 2018.
Education and Expertise
Sri Yogesh K. holds a Master of Business Administration (MBA) in Logistics, Materials, and Supply Chain Management from the Indian Institute of Management, Kozhikode, which he completed from 2021 to 2023. He also earned a Bachelor of Science (BS) from IISER Bhopal. Currently, he is pursuing a Master of Science in Data and Business Analytics at the Rennes School of Business. His technical expertise includes proficiency in Python and R programming, along with frameworks such as Numpy, Scikit Learn, TensorFlow, and PyTorch.
Skills in Data Science
Sri Yogesh K. specializes in data science consulting projects, utilizing Python and R programming languages. His skill set includes deep learning and machine learning, where he employs various frameworks to develop and implement data models. His experience spans multiple industries, allowing him to apply his analytical skills effectively in diverse contexts.