Prasheek Sonone
About Prasheek Sonone
Prasheek Sonone is an Interview Coordinator at IIT Bombay, with a background in Agricultural Engineering and Technology. He has conducted various data analysis projects and internships, demonstrating strong analytical skills and a commitment to research in multiple sectors.
Work at Placement Office, IIT Bombay
Prasheek Sonone currently serves as an Interview Coordinator at the Placement Office of IIT Bombay. His role involves facilitating the interview process for students and companies, ensuring a smooth transition from academic to professional environments. He has been in this position since 2022.
Education and Expertise
Prasheek Sonone completed his Bachelor of Technology in Agricultural Engineering at the College of Agricultural Engineering & Technology, Akola, from 2016 to 2020. He is currently pursuing a Master of Technology in Technology and Development at the Indian Institute of Technology, Bombay, expected to complete in 2024. His academic focus includes data analysis and agricultural engineering.
Internship Experience
Prasheek has gained practical experience through various internships. In 2019, he interned at ICAR - Indian Council of Agricultural Research in Kota, Rajasthan, and in 2020, he worked at CAAST-CSAWM for one month. These internships provided him with exposure to agricultural research and data analysis.
Research and Projects
Prasheek has conducted significant research during his academic career. He completed a research internship as a data analyst, focusing on analyzing eight sectors and over fifteen government schemes using advanced statistical methods. He also developed a Diabetes Diet Planner and Prediction System and created a Financial Modelling and Analysis project for a housing project in Gurgaon.
Achievements and Recognition
Prasheek Sonone has demonstrated academic excellence by achieving AIR 13 in the National Engineering Olympiad 3.0 and AIR 75 in GATE 2022. He has also participated in the WiDS Bootcamp at IIT Bombay, contributing to projects that utilize data science and machine learning techniques.