Product Strategy & PMF Validation
Evaluating market desirability, running product teardowns, and translating business requirements into prioritized roadmaps that ship high-value experiences.
Get to know me
Product Management Candidate & Technology Strategy Consultant.
I'm a Product Manager and Technology Consultant working at the intersection of cloud infrastructure, data analytics, and business strategy. My throughline is bridging technical execution and market strategy — built on 30+ months driving enterprise backend delivery as a Systems Engineer at TCS, sharpened by a PGPM at the Great Lakes Institute of Management and an early seat in the McKinsey Forward Program.
Strategic alignment creates measurable impact. My engineering background and McKinsey Forward training taught me to translate technical architecture into business viability. I've designed scalable backend systems on AWS, integrated global APIs that cut data latency by 30%, and led discovery sessions across Spain, China, and the US to reconcile conflicting policy requirements. The throughline: turn operational bottlenecks into a better end-user experience.
My creative work — scriptwriting and editing short films, including a project on confirmation bias — trained me to find the emotional core of a narrative. I bring that same instinct to product storytelling: distilling messy stakeholder input into a clear story about the user's problem. I sharpen it further through product teardowns (Microsoft Teams, Dhan Fintech) and case competitions, and stay analytically grounded by managing my own equity portfolio and building financial forecast models for Indian listed companies.
The best technology solutions are rooted in empathy, clear metrics, and diverse perspectives. As Social Impact Coordinator for Karma Yoga, I led volunteer-driven health and hygiene drives for 150+ community members — work that shaped how seriously I take responsible business principles. Fluency in English, Hindi, and Bengali lets me connect authentically with a wide range of stakeholders. I'm driven by building scalable products with measurable, meaningful impact.
Evaluating market desirability, running product teardowns, and translating business requirements into prioritized roadmaps that ship high-value experiences.
Designing scalable AWS backend infrastructure and integrating enterprise APIs to cut operational latency and drive digital transformation.
Leading cross-functional discovery sessions across international markets to reconcile conflicting requirements and align engineering with business.
Building Excel scenario models, running Python EDA, and prototyping with Generative AI to ground product decisions in evidence, not guesswork.
MBA (PGPM) in Product Management and Business Analytics
Great Lakes Institute of Management, Chennai
B.Tech in Computer Science and Engineering
Institute of Engineering & Management, Kolkata
Study Abroad Program (AI & Emerging Tech)
NUS Singapore
CBSE Class 12th (Computer Science)
Army Public School, Barrackpore
CBSE Class 10th
Army Public School, Barrackpore
McKinsey Forward Program (Core Professional & Leadership Skills)
McKinsey & Company
AWS Certified Solutions Architect – Associate
AWS
AWS Certified Cloud Practitioner
AWS
Power Platform Fundamentals (PL-900)
Microsoft
Power BI Data Analyst Associate (PL-300)
Microsoft
Professional Data Engineer
Azure AI Associate (AI102)
Microsoft
Behavioral psych enthusiast: writes and edits short films exploring cognitive biases, including confirmation bias
Financial modeler: builds multi-sheet Excel forecast workbooks for Indian listed companies
Active competitor in product management case competitions
Avid traveler with a love for scenic rail journeys and coastal road trips
Started the MBA (PGPM) program at the Great Lakes Institute of Management, Chennai.
Selected as an early-cohort learner for the McKinsey Forward Program.
Earned the Professional Data Engineer and Power BI Data Analyst Associate certifications.
Built a 23-slide, XML-level Microsoft Teams product teardown deck.
Writing and editing a short film exploring the theme of confirmation bias.