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.

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.

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

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.

A web-based minimalist point of sales and inventory system.

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

Data Analysis Portfolio

An app that manages your sales team efficiently

Data Analysis of Superstore Sales: Advanced Python

This is an old R project of mine where I did a sales analysis with various visualizations for a Russian Beer Store dataset that I found on Kaggle.

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.

Application for financial analysis

The project is analyzing Ice Games sales throughout their lifetime in order to plan the next marketing campaign, as well as spotting and profiling potentially top-selling games.

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.

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.

Power BI Dashboard