Pradip Tivhale
About Pradip Tivhale
Pradip Tivhale is a Senior Machine Learning Engineer at Accrete AI, with extensive experience in data science and machine learning. He has worked at various organizations, including Cuelogic Technologies, Byte Academy, and Cognizant, and holds a B.Tech. from SGGS Nanded and an M.Tech. from IIT Madras.
Work at Accrete AI
Pradip Tivhale has been serving as a Senior Machine Learning Engineer at Accrete AI since 2021. In this role, he focuses on developing and implementing machine learning models that enhance the company's AI capabilities. His experience in the field allows him to contribute effectively to various projects aimed at advancing the company's technological offerings.
Previous Experience in Data Science
Before joining Accrete AI, Pradip Tivhale worked at several organizations in data science roles. He was a Senior Data Scientist at Cuelogic Technologies for 7 months in 2021. Prior to that, he served as a Data Scientist at Cognizant for 11 months from 2020 to 2021. He also worked at Byte Academy from 2018 to 2020, where he gained valuable experience in data science practices.
Educational Background
Pradip Tivhale holds a Bachelor of Technology (B.Tech.) in Computer Science from SGGS Nanded, which he completed from 2007 to 2012. He furthered his education with a Master of Technology (M.Tech.) in Computer Science and Engineering from the Indian Institute of Technology, Madras, from 2014 to 2016. Additionally, he completed his Higher Secondary Certificate (HSC) at Yashwant College Nanded from 2005 to 2007.
Mentorship and Education in Data Science
Pradip Tivhale has actively mentored startups and professionals in the field of data science. He has contributed to the growth of individuals and organizations by sharing his expertise in machine learning and big data. His efforts in educating individuals globally have helped enhance understanding and application of data science concepts.
Technical Skills and Experience
Pradip Tivhale has experience in implementing generative algorithms to improve machine learning models. His technical skills encompass a range of data science methodologies and tools, which he has applied throughout his career. He also worked as a Junior Software Developer at the Indian Institute of Technology, Bombay, for 5 months in 2014, further solidifying his foundation in software development.