
Product @ Mastercard | Fintech | AI PM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Management Kashipur
Master of Business Administration - MBA
January 1, 2018 – January 1, 2020
Shri Ramdeobaba College of Engineering and Management
Bachelor of Engineering (B.E.), Electronics and Communications Engineering
January 1, 2012 – January 1, 2016
Modern School
High School
January 1, 2000 – January 1, 2010
Mastercard
Senior Product Manager
December 1, 2023 – Present
Pune City, Maharashtra, India · Hybrid
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August 1, 2016 – August 1, 2017
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daVIZta Inc., The Revenue Analytics Company
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April 1, 2014 – July 1, 2014
Pune/Pimpri-Chinchwad Area · Remote
Becoming a Product Manager
June 25, 2026 – Present
Professional Scrum Product Owner™ I (PSPO I)
Scrum.org
June 25, 2026 – Present
Product Management First Steps
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning software engineering, product management across multiple industries (FinTech, EdTech, E-commerce), and an MBA. This breadth of experience suggests adaptability and a willingness to tackle varied challenges. While the primary experience is in product management, the early career and internship roles show exposure to software development and data analytics, indicating a versatile profile. However, the target role of 'Data Analyst' is a significant shift from their recent senior product management roles, which might require a cultural adjustment to a more technical, data-focused individual contributor role.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with compliance teams, divisional leaders, and cross-functional teams, indicating strong teamwork and communication skills. Their role in defining and executing product roadmaps suggests strategic thinking and problem-solving abilities. The focus on improving efficiency and scaling operations points to an operational fit for data-driven decision-making.