End-to-end analytics suite for Blinkit, Swiggy, and JioMart — 100k+ orders analyzed to forecast demand, optimize SLAs, and reduce churn (+37% growth impact)
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Updated
Sep 9, 2025 - Jupyter Notebook
End-to-end analytics suite for Blinkit, Swiggy, and JioMart — 100k+ orders analyzed to forecast demand, optimize SLAs, and reduce churn (+37% growth impact)
Quick-commerce delivers in 10 minutes. But the customer spends 15 minutes deciding what to order. The bottleneck isn't the rider — it's the shopping itself.
Android-first Compose Multiplatform quick-commerce demo with an offline catalog, persistent crate, transparent pricing, deterministic checkout recovery, and Room-backed orders.
Platform connecting local shops for ultra fast cheap delivery... Created at https://coslynx.com
Business analytics & data visualization project analyzing Blinkit’s quick commerce model-delivery speed, urgency marketing, customer behavior, and revenue insights using Tableau.
Interactive Power BI dashboard analyzing 8,500+ Blinkit sales & delivery records — revenue trends, order performance, and category-level insights
Score your quick commerce cities by ad performance. Know where to scale, hold, or cut budget.
This is the server side code for a real life quick commerce application clone
AI-powered quick commerce intelligence system that tracks products, pricing, and availability across Blinkit, Zepto, and Instamart.
End-to-end quick commerce analytics project leveraging Excel, SQL, Python, and Power BI for sales analysis, customer insights, and business performance monitoring.
DailyDelish: Fresh Produce, Your Way
Customer & competitor intelligence from 9,000+ public app reviews — daily scraping, Claude-labeled complaint themes, spike alerts, auto-written CEO digests, churn & segmentation. Near-zero cost.
🏗️ System architecture study comparing e-commerce vs quick-commerce — focusing on backend architecture, data consistency, scalability, and operational complexity.
AI-powered system for optimizing inventory, demand forecasting, and supply chain in quick commerce dark stores
End-to-end quick commerce analytics comparing Zepto vs Blinkit — SQL, Python (t-test, chi-square, K-Means, RFM, SPC, ARIMA), Excel, Power BI 7-zone war room
Fully-featured e-commerce platform designed for performance and scalability. The backend is powered by Django Rest Framework (DRF), ensuring secure and efficient API endpoints, while the frontend is built with React to deliver a seamless, responsive user experience.
Full-stack quick-commerce grocery app — Flutter mobile client + Node.js/Express backend with phone OTP auth, live order tracking via SSE, and admin dashboard
Quick-Commerce delivery analytics using Python — EDA, hypothesis testing, ML classification, clustering, and time series forecasting on 591K records.
Excel-based analysis of 15-minute delivery SLA performance for Zepto & Instamart
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