Jinay Bhavsar

Jinay Bhavsar is an experienced data scientist and engineer. Jinay worked as a Lead Engineer at Viral Nation, where they successfully led a team of 12 people and played a key role in securing multi-million-dollar deals from Fortune 500 companies. Prior to that, they worked as a Data Scientist at Alstom, where they developed structures to analyze warehouse data and created machine learning models for forecasting parts purchases. Jinay also gained valuable experience as a Data Scientist/Machine Learning Intern at Wappnet Systems, where they worked on real-life data science projects. Jinay has additional internships in the automotive and manufacturing industries, where they gained hands-on experience in design, operations, and workshop management. Jinay holds expertise in Python, statistical learning, and machine learning algorithms.

Jinay Bhavsar obtained a Bachelor of Engineering degree in Mechanical Engineering from LDRP-ITR from 2013 to 2017. They then pursued a Master's degree at the University of Ottawa from 2018 to 2019. In terms of additional certifications, Jinay completed various courses, including "Complete TensorFlow 2 and Keras Deep Learning Bootcamp" and "Hands on Python for Data Science and Machine Learning" from Udemy in 2020, as well as several courses in Python programming and machine learning from Eduonix Learning Solutions Pvt Ltd in 2018. They also completed an Introduction to Programming Using Python course from edX in 2018.