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 & Analytics and Strategy Consultant.
I'm a product and analytics person working at the intersection of data, cloud and business strategy. My throughline is the step from data to decision: finding the signal in messy data and turning it into something a product or business team can act on. It's built on 30+ months driving enterprise backend delivery as a Systems Engineer at TCS, and sharpened by a PGPM in Product Management and AI & Data Analytics 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. At Great Lakes I've pointed the same skills at data: a Medicare fraud model, NLP on 215K patient reviews, and a pharma rebate engine.
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 instinct to product storytelling: distilling messy stakeholder input into a clear story about the user's problem. I sharpen it through product teardowns like Microsoft Teams, Design Thinking prototypes like GhostStudy, 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.
Turning raw claims, reviews and sales data into features, models and dashboards, with Python, SQL, Tableau and Power BI, and choosing the metric that actually fits the business problem.
Leading cross-functional discovery sessions across international markets to reconcile conflicting requirements and align engineering with business.
Designing scalable AWS backend infrastructure and integrating enterprise APIs to cut operational latency and drive digital transformation.
MBA (PGPM) in Product Management and AI & Data Analytics, Class of 2027
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
Professional Data Engineer
Google Cloud
Power BI Data Analyst Associate (PL-300)
Microsoft
Azure AI Engineer Associate (AI-102)
Microsoft
AWS Certified Solutions Architect – Associate
AWS
AWS Certified Cloud Practitioner
AWS
Power Platform Fundamentals (PL-900)
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 and analytics case competitions
Avid traveler with a love for scenic rail journeys and coastal road trips
Started the MBA (PGPM) at the Great Lakes Institute of Management, Chennai, specialising in Product Management and AI & Data Analytics.
Selected as an early-cohort learner for the McKinsey Forward Program.
Earned the Google Professional Data Engineer and Microsoft Power BI Data Analyst Associate certifications.
Built a Medicare fraud detection model (PR-AUC 0.706) and an NLP study of 215K patient drug reviews.
Built a pharma sales & rebate model sizing $7.25M in quarterly rebates for a commercial analytics case.
Prototyped GhostStudy, a Design Thinking concept that turns class gaps into study time.
Built a 23-slide Microsoft Teams product teardown deck.
Writing and editing a short film exploring the theme of confirmation bias.