Analytical CRM with Tasks management, Email marketing and many more. Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ✨

Using Python Pandas Library to Analyze Sales Data

Data visualisations in Power BI

A service sales manager made for freelancers.

Assessed historical shipping data for a shipping company selling products and shipping them to its customers' destinations to determine future shipping strategies.

The insights generated through this analysis can help businesses make data-driven decisions, streamline inventory management, and enhance marketing efforts. Ultimately, this analysis aims to improve profitability, drive growth, and enhance customer satisfaction on the Amazon marketplace.

The LLM powered Sales CRM

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.

Tableau workbook based on sales and promotional information from a sampling of stores over 156 weeks, beginning January 2009 through December 2011.

This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.

Capstone Project: A web-based minimalist POS and inventory system made from vanilla HTML, CSS, JS (frontend) and NodeJS, FastifyJS and SQLite3 (backend), demo deployed on render.com

The primary objective of the project is to Analyse sales for Northwind data using QlikSense & Tableau.

This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.

Geographic based visualisation of business and performance data. Supporting status markers, regions and heat maps.

A comprehensive ETL pipeline and sales analysis project leveraging Microsoft Azure and PySpark, designed to optimize e-commerce sales by providing actionable insights through detailed data analysis.

This repository includes practice dashboard creation tasks given by upGrad.com on different data sets.

Data Analysis Portfolio

Data Analysis of Superstore Sales: Advanced Python

Analysis of the sales data with particular focus given to how promotions and advertising translate into sales, in terms of both units sold and sales dollars.