About Me
I am a final-year Electrical Engineering student at NSUT driven by the challenge of building real-world solutions. My portfolio sits at the intersection of Product Management and Data Science—transforming ambiguity into actionable strategy.
Instead of relying solely on theory, I focus on shipping. I've engineered ML pricing engines to safeguard revenue, built churn prediction systems for telecom giants, and designed geo-aware mobile apps from scratch. I leverage a strong technical stack (Python, SQL, Figma, Power BI) to create solutions that are not just functional, but commercially viable.
What I Do
Data Analytics & Strategy
Cleaning, processing, and interpreting complex datasets (50k+ records) to derive actionable insights that drive ROI and operational efficiency.
Product Management
Conceptualizing mobile apps from scratch, defining UI wireframes, writing technical specs, and managing the end-to-end product lifecycle.
Management & Consulting
Developing market entry strategies, conducting competitive analysis, and building financial models to support high-stakes business decisions.
Leadership & Mentorship
Leading teams, mentoring juniors in UI/UX, and organizing large-scale tech events with 100,000+ footfall.
My Tech Stack
Python
SQL
Pandas
Figma
Flutter
Power BI
Tableau
Scikit-learnProjects
ChronoLapse: Geo-Aware Memory App
Conceptualized and shipped a mobile app for contextual memory keeping. Defined end-to-end user flows, authored technical specs for 10+ user stories, and implemented geofencing features using Flutter.
Bumble "First Move" Optimization
Conducted a product teardown identifying a 40% drop-off in user activation. Designed 'Contextual AI Openers' to reduce initiation friction, projecting an 8% lift in MCR.
Pharma Marketplace Pricing Engine
Engineered a pricing strategy engine analyzing $200B+ GMV Medicare data. Discovered inelastic demand dynamics (0.08 correlation) and built a lifecycle classifier to identify $41B in at-risk revenue.
Telecom Churn Prediction
Built an end-to-end churn prediction system using SQL and Power BI. Trained a Random Forest model with 87% accuracy to identify high-risk customers, pinpointing contract type as a key driver.
Spotify Music Analysis Dashboard
Developed an interactive Power BI dashboard to visualize 489B+ streams, revealing key user listening patterns. Implemented advanced Power Query and adaptive filters for deep-dive analysis of top tracks and seasonal trends.
Bain Case Catalyst: Market Strategy
Developed a strategic roadmap for a CPG client to enter the Indian market. Conducted financial modeling and supply chain analysis to project a 3-year growth plan.
Contact
I'm always open to discussing new opportunities in product management and data analytics. Feel free to drop a message or connect on LinkedIn.