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)
This is the server side code for a real life quick commerce application clone
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.
A low-level design for a hyperlocal inventory system inspired by Zepto.
Power BI dashboard for analyzing Blinkit sales and quick commerce trends
The Blinkit Dashboard provides a visual summary of sales, item performance, and outlet insights across different locations and categories. It helps identify trends, top contributors, and areas for improvement through interactive filters and charts.
Mimicing the operational flow of modern quick-commerce
🏗️ System architecture study comparing e-commerce vs quick-commerce — focusing on backend architecture, data consistency, scalability, and operational complexity.
This repository contains the complete codebase, datasets, and model artifacts for a master’s thesis project focused on optimizing last-mile delivery operations in quick commerce. The project develops and compares advanced courier assignment and routing strategies for urban scenarios.
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.
DailyDelish: Fresh Produce, Your Way
"Descriptive Analysis of Quick Commerce deliveries in Gurugram Sector 45 using Power BI."
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