Websites, mobile apps, AI, and data — every project here was built for real users or real analysis, not for a tutorial.
Dated booking experience, weak brand positioning, and low enquiry conversion for Pune-based group trips.
Full redesign, stronger brand identity, and a streamlined booking flow built specifically for Indian travellers.
Substantial boost in direct WhatsApp enquiries within week 1 of going live.
Mental-wellness support that works offline, privately, and in Hinglish without transmitting data to cloud servers.
React Native app running a local LLM on-device via Ollama; mood tracking, journaling, breathing exercises, and verified India crisis helplines.
Fully offline-capable, privacy-first companion app with zero latency and zero data exposure.
Manual participant tracking, chaotic payment collection (UPI/bank/cash), and tedious daily itinerary formatting for trek leaders.
Built a responsive Next.js SaaS dashboard with automated roster tracking, payment verification, and 1-click WhatsApp itinerary exports.
Reduced trip administration time by 70% with instant automated roster exports.
Predicting peak hourly congestion patterns from raw historical traffic sensor data to optimize fleet dispatch and surge pricing.
Applied Pandas data cleaning, time-based feature engineering, and predictive modeling during the Uber x upGrad mentorship program.
Surfaced actionable peak traffic patterns supporting dynamic driver allocation strategy.
Determining profitable release windows, director pairings, and genre investments for a studio planning global releases.
Designed a 6-table relational schema from raw IMDB data and executed complex SQL queries using CTEs, window functions (RANK, LEAD), and multi-joins.
Delivered concrete, data-backed strategic recommendations for film greenlighting and marketing windows.
High customer churn rates eroding recurring subscription revenue for a major telecom provider.
Performed comprehensive EDA on customer datasets to analyze contract lengths, payment methods, and demographic cohorts.
Segmented high-risk customer groups and flagged key pricing friction points to enable targeted retention campaigns.