Resume
My data science and engineering journey has been through academics initially and then applying AI/ML to real world use cases across the customer journey and more
Experience
2023 Feb - Present
MLOps Fellow
NYC Data Science Academy
NY, New York
To enhance my expertise in ML/AI driven customer analytics, I am gaining hands on experience in deploying end to end scalable machine learning pipelines in production & applying deep learning/transfer learning techniques to the customer journey
2006 Jun - 2023 Jan
SVP, Data Science & Engineering
MRM - Interpublic Group
NY, New York
Led teams focused on data, technology, and insights to drive unique customer experiences across Fortune 500 companies. Used AI/ML techniques across the customer journey to drive increase in revenue, reduce cost, & increase customer satisfaction
2005 Jan - 2006 May
Manager of Data & Analytics
Channel Advisor
Led automated reporting dashboards and consulted fortune 500 e-commerce clients on how to optimize online store engagement and increase conversion
Atlanta, GA
Education
Columbia University
Certificate - AI in Finance
New York, NY
Onsite 7 month (250+ hours) intensive Fintech program that delivers hands-on financial programming experience solving real world use cases utilizing machine learning, natural language processing, computer vision, blockchain technology, and cryptocurrency across varied cloud environments
Georgia State University
M.S. in Managerial Sciences and Marketing
Atlanta, GA
Nowadays Managerial Sciences can be translated to data science as most of my curriculum was around statistical modeling and projects around how that can be applied to real world scenarios. Marketing was around Market Intelligence, Market Research and the other more quantitative aspects of marketing
Maharashtra Institute of Tech
Bachelors in Engineering
Spent time specializing in Petroleum Engineering and all the analytical rigor that comes with Engineering courses
Pune, India
Professional skillset
Data Science
Data Engineering
MLOps
Cloud services
Languages
English (native)
Hindi (proficient)
Spanish (novice)