Kamal Banga
About Kamal Banga
Kamal Banga is the Director of Data Science at Ivy Homes, where he has worked since 2022. He has a background in computer science from the Indian Institute of Technology, Kharagpur, and has held various roles in data science and engineering across multiple companies, including Myntra and Inshorts.
Current Role at Ivy Homes
Kamal Banga serves as the Director of Data Science at Ivy Homes, a position he has held since 2022. In this role, he oversees data science initiatives and strategies, contributing to the company's data-driven decision-making processes. His expertise in data science allows him to lead projects that enhance operational efficiency and improve customer experiences.
Previous Experience at Myntra
Before joining Ivy Homes, Kamal Banga worked at Myntra, where he held multiple roles. He served as a Senior Data Scientist from 2018 to 2021, followed by a position as Lead Data Scientist for six months in 2022. His work involved developing data models and analytics solutions to support business objectives in the e-commerce sector.
Education at Indian Institute of Technology, Kharagpur
Kamal Banga completed his education at the Indian Institute of Technology, Kharagpur, where he studied Computer Science. He achieved both a Bachelor of Technology (B. Tech.) and a Master of Technology (M. Tech.) from 2009 to 2014. This educational background provided him with a strong foundation in technical skills and analytical thinking.
Data Science Coaching at upGrad
Kamal Banga also contributed to the education sector by working as a Data Science Coach and Mentor at upGrad from 2020 to 2021. In this role, he guided students in their learning journeys, helping them develop skills in data science and analytics.
Early Career Experience
Kamal Banga began his career with various internships and entry-level positions. He worked as a Software Engineer Intern at Lifetape in 2013 and later joined Inshorts as a Data Engineer for four months in 2015. He continued at Inshorts as a Data Scientist from 2015 to 2018, gaining valuable experience in data analysis and engineering.