About

Ameya Shanbhag is an outcome-driven product manager with entrepreneurial experience, currently working as a Product Manager at Goldman Sachs in the GS Accelerate division. He is responsible for leading cross-functional teams to plan, build, deploy, and maintain data warehouse projects across different banking products. Ameya has a Master of Science in Computer Science from New York University and a Master's degree in Finance from NYU Stern School of Business. Ameya is a strategic thinker who measures success by looking at the happiness on his customer's faces every time they use the product. He loves building impactful products and incorporates data, user research, and market analysis to inform product strategy and roadmaps. Ameya has expertise in Python, SQL, Flask, Machine Learning, Cloud, Deep Learning, Django, and Android. Apart from his professional achievements, Ameya is an avid blogger and tweets regularly. He also likes to dance and has a YouTube channel named Dancing Jack Crew. Ameya believes that solitude is a time and space where creativity happens, and he takes some time every day to reflect on the problems that the universe is going through and thinks of solutions that he can contribute to alleviating those problems. Ameya has worked as a Graduate Assistant at New York University and as an Adjunct Instructor at NYU Center for Data Science. He has spearheaded the ‘Cloud for Data Warehouse’ strategy for Morgan Stanley’s Banking Division and led collaborations with Cloud Center of Excellence to redesign the architecture of multi-tier applications. Ameya has also formulated a Straight Through Processing index for each business process, potentially saving the firm $5MM/year in operational expenses. Overall, Ameya Shanbhag is a highly skilled and motivated product manager with a strong technical background and excellent soft skills, including negotiation, stakeholder management, communication management, relationship management, mentoring, and resource planning.