Harsh Chauhan
About Harsh Chauhan
Harsh Chauhan is a Senior Data Scientist with over two years of experience in predictive analytics, machine learning, and AI security. He holds an Integrated M.Tech in Geophysical Technology from the Indian Institute of Technology, Roorkee.
Work at Bosch Global Software Technologies
Harsh Chauhan has been employed at Bosch Global Software Technologies as a Senior Data Scientist since 2021. In this role, he contributes to various projects that leverage predictive analytics and machine learning. His work focuses on utilizing big data, natural language processing (NLP), and computer vision to develop innovative solutions. The position is based in Bengaluru, Karnataka, India, where he collaborates with a team of professionals in the field.
Education and Expertise
Harsh Chauhan studied at the Indian Institute of Technology, Roorkee, where he pursued an Integrated M.Tech in Geophysical Technology from 2015 to 2020. His education provided him with a solid foundation in machine learning, which he further enhanced by completing a specialized Tech program in the subject at IIT Roorkee. This academic background supports his expertise in predictive analytics and various applications of artificial intelligence.
Background
Harsh Chauhan has over two years of professional experience in the fields of predictive analytics, machine learning, big data, natural language processing, computer vision, robotics, and AI security. His career began with internships that allowed him to gain practical experience in data science and machine learning. He completed a Machine Learning internship at CoffeeBeans Consulting LLP in 2018 and a Data Science internship at Bosch Engineering and Business Solutions in 2019.
Achievements
Harsh Chauhan has developed a strong skill set in data science through his academic and professional experiences. His internships provided him with hands-on experience in machine learning and data analytics, which he has applied in his current role at Bosch Global Software Technologies. He actively seeks opportunities to learn and grow within the data science field, indicating a commitment to continuous professional development.