Hitendri Bomble
About Hitendri Bomble
Hitendri Bomble is a Data Scientist currently employed at Brillio in Bengaluru, Karnataka, India, where he has worked since 2020. He has a background in data science and engineering, having previously held various roles including internships and coordinative positions at institutions such as IIT Kharagpur and Ideation Technology Solutions.
Work at Brillio
Hitendri Bomble has been employed at Brillio as a Data Scientist since 2020. His role involves applying data science techniques to solve complex problems and drive business insights. Based in Bengaluru, Karnataka, he has contributed to various projects that leverage data analysis and machine learning methodologies.
Previous Experience in Data Science
Prior to his current position, Hitendri Bomble completed multiple internships in data science. He worked as a Data Science Intern at Ideation Technology Solutions for one month in 2018 and at WNS Global Services for another month in 2019. These experiences provided him with foundational skills in data analysis and practical applications of data science.
Education and Expertise
Hitendri Bomble holds a Dual Degree in Biotechnology and Biochemical Engineering from the Indian Institute of Technology, Kharagpur, where he studied from 2015 to 2020. He possesses strong skills in data analysis tools, SQL, and Python, along with expertise in Natural Language Processing (NLP) and Computer Vision.
Background in Coordination and Leadership
Hitendri has held various leadership roles during his academic career. He served as the Organizing Head for TEDxIITKharagpur from 2017 to 2018 and as a Coordinator and Head at the Technology Transfer Group, IIT Kharagpur, from 2017 to 2019. These positions involved overseeing projects and managing teams, showcasing his organizational abilities.
Early Education
Hitendri Bomble completed his early education at Kendriya Vidyalaya, where he studied Science and achieved Class 12th from 2003 to 2015. This foundational education set the stage for his future studies in engineering and data science.