Shubham Dhumane
About Shubham Dhumane
Shubham Dhumane is an Applied AI Senior Delivery Specialist with over six years of experience in data science, specializing in areas such as speech analytics and predictive maintenance. He currently works at Uniphore in Bengaluru, India, and has a background in electronics and telecommunication engineering from the University of Pune.
Work at Uniphore
Shubham Dhumane has been employed at Uniphore since 2020, serving as an Applied AI Senior Delivery Specialist. In this role, he focuses on delivering AI solutions, leveraging his expertise in data science and applied artificial intelligence. His work contributes to the company's initiatives in enhancing speech analytics and other AI-driven technologies.
Education and Expertise
Shubham Dhumane holds a Bachelor's degree in Electronics and Telecommunication Engineering from Sinhgad Academy of Engineering, University of Pune, where he studied from 2013 to 2017. He furthered his education through Coursera, completing an Introductory Machine Learning course using Python from the University of Michigan. His educational background supports his specialization in areas such as speech analytics, market mix modeling, predictive maintenance, investment banking, and operations analytics.
Background
Shubham Dhumane completed his primary education at Aditya Birla Public School from 1998 to 2002 and continued his schooling at Ambuja Vidya Niketan from 2002 to 2013. His foundational education has contributed to his analytical skills and understanding of complex data science concepts.
Professional Experience
Prior to his current role at Uniphore, Shubham Dhumane worked at TheMathCompany as a Data Science Practitioner for five months in 2020. He also gained two years of experience at Mindtree in the same capacity from 2018 to 2020. His diverse work experience across different organizations has equipped him with a broad skill set in data science applications.
Specializations
Shubham Dhumane specializes in several key areas within data science, including speech analytics, market mix modeling, predictive maintenance, investment banking, and operations analytics. His focus on these domains allows him to address various business challenges through data-driven solutions.