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Product Management | Strategy | Machine Learning
High‐performing technology enthusiast with eight years of experience developing both business to business(B2B) and business to consumer(B2C) products. Significant experience in leading team projects from ideation to delivery of finished products. Excellent track record of data driven approach to analyze and solve problems. Extensive experience working in an Agile development environment. Customer-obsessed and result oriented with an ability to dive deep while keeping the bigger picture intact. • Hands-on experience building machine learning applications using Python based libraries such as pandas, NumPy, etc. • Methodologies: Agile Software Development, Certified Scrum Master (CSM) • Extensive knowledge of Amazon Web Services and REST based API platforms • Analytical Skills: Financial Modeling, Clustering, Regression, Decision Trees, Naive Bayes • Tools & Services: Proficient in Excel, Tableau, Google Analytics, Google AdWords, Balsamiq, Rally, JIRA • Languages: Python, Java, JavaScript, SQL
Cornell Johnson Graduate School of Management
Master of Business Administration (MBA), Business Administration and Management, General
January 1, 2014 – June 1, 2016
Indian Institute of Technology, Roorkee
B.Tech, Computer Science
January 1, 2004 – January 1, 2008
Intuit
Senior Product Manager, Intuit Machine Learning Platform
June 1, 2019 – Present
San Francisco Bay Area
Ayasdi
Product Manager, Machine Learning Platform
September 1, 2017 – May 1, 2019
San Francisco Bay Area
Adobe
Product Manager
June 1, 2016 – May 1, 2017
San Francisco Bay Area
Verizon Wireless
Product Manager
May 1, 2015 – August 1, 2015
Waltham, Massachusetts
BR Consulting
Consultant
August 1, 2014 – May 1, 2015
Ithaca, New York Area
Amazon
Product Developer
July 1, 2012 – June 1, 2014
Bangalore
Oracle
Senior Member Technical Staff
October 1, 2010 – June 1, 2012
Bangalore
Oracle
Member Technical Staff
July 1, 2008 – September 1, 2010
Bangalore
Introduction to Prompt Engineering for Generative AI
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
SQL Essential Training
June 24, 2026 – Present
Certified ScrumMaster (CSM)
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning large tech companies (Amazon, Oracle, Adobe, Intuit) and an MBA from a top institution. This indicates adaptability and a drive for continuous learning. The focus on AI/ML platforms aligns with modern tech trends. However, the career trajectory has moved away from direct engineering roles towards product management. While this demonstrates breadth, it might not be a direct cultural fit for a purely hands-on senior backend engineering team without a clear explanation of the desired transition.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, data analysis, and critical thinking skills, which are crucial for product management roles. The experience in leading teams and collaborating with cross-functional groups suggests good operational fit for roles requiring coordination and strategic influence. However, the target role is 'Backend Engineer', which is a significant shift from recent product management focus. While early career shows engineering, recent roles emphasize product strategy and leadership over hands-on backend development.