Keshav Balachandar
About Keshav Balachandar
Keshav Balachandar is a Product Analyst based in Chennai, Tamil Nadu, India, with a background in Computer Science and Information Technology. He has experience in data science, machine learning, and computer vision, having worked with various organizations including Mad Street Den and UC Irvine.
Work at Mad Street Den
Keshav Balachandar has been employed at Mad Street Den as a Product Analyst since 2021. In this role, he focuses on product development and strategy, contributing to the company's innovative projects. His work includes collaborating with cross-functional teams to enhance product offerings and improve user experience. Keshav's involvement in the development of a 'build your own AI' platform called Data Science Hub highlights his commitment to advancing AI solutions within the organization.
Education and Expertise
Keshav Balachandar completed his education at Padma Seshadri Bala Bhavan Sr. Sec. School, where he studied Computer Science from 2006 to 2017. He then pursued a Bachelor of Technology in Information Technology at SSN College of Engineering from 2017 to 2021. This educational background has equipped him with a solid foundation in computer science and information technology, which he applies in his current role as a Product Analyst.
Background in Data Science and Machine Learning
Keshav has gained practical experience in data science and machine learning through various internships. He worked as a Data Science Intern at Buckman in 2020, where he conducted competitive analysis in the Machine Learning as a Service (MLaaS) domain. Additionally, he served as an NLP Intern at vakilsearch from 2019 to 2020 and as a Computer Vision Intern at DaveAI in 2020. His role as a Research Collaborator at UC Irvine further solidified his expertise in these fields.
Internship Experience
Keshav Balachandar has completed multiple internships that have contributed to his professional development. He interned at vakilsearch as an NLP Intern for five months, where he gained experience in natural language processing. He also worked as a Data Science Intern at Buckman for one month and as a Computer Vision Intern at DaveAI, both in 2020. His diverse internship experiences have provided him with a well-rounded skill set in data analysis and machine learning.