Manish Gupta
About Manish Gupta
Manish Gupta is a Data Scientist at KPMG India, where he has developed advanced data visualization techniques and contributed to projects utilizing machine learning algorithms. He has a Bachelor of Technology in Computer Science from Kamla Nehru Institute of Technology and previously worked as a Junior Data Scientist at IBM India.
Work at KPMG India
Manish Gupta currently serves as a Data Scientist at KPMG India, a position he has held since 2019. In this role, he has developed advanced data visualization techniques that significantly improved client reporting efficiency. He has also contributed to various projects, including the implementation of machine learning algorithms to optimize business processes for major clients. Manish participated in a cross-functional team that created a predictive analytics model, enhancing decision-making capabilities for clients. Additionally, he presented findings from a data-driven project at an internal conference, showcasing innovative uses of statistics and data analysis.
Previous Experience at IBM India
Before joining KPMG India, Manish Gupta worked as a Junior Data Scientist at IBM India Private Limited from 2017 to 2019. During his tenure at IBM, he gained foundational experience in data science, which contributed to his skill development in the field. This role provided him with practical exposure to data analysis and machine learning, preparing him for his subsequent responsibilities at KPMG India.
Education and Expertise
Manish Gupta earned a Bachelor of Technology (B.Tech.) in Computer Science from Kamla Nehru Institute of Technology, where he studied from 2012 to 2016. His educational background laid the groundwork for his expertise in data science, statistics, and machine learning. This academic foundation has enabled him to engage in complex data-driven projects and contribute effectively to his teams at KPMG India.
Mentorship and Team Collaboration
At KPMG India, Manish Gupta actively engages in mentoring junior data scientists, focusing on skill development in machine learning and data analysis. His involvement in cross-functional teams has fostered collaboration and innovation, allowing for the successful implementation of predictive analytics models. This mentorship role highlights his commitment to knowledge sharing and professional growth within the data science community.