This repository contains an end-to-end data engineering project using Apache Flink, focused on performing sales analytics. The project demonstrates how to ingest, process, and analyze sales data, showcasing the capabilities of Apache Flink for big data processing.

This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

Explore the power of data analysis with this Sales Dashboard project! Gain insights into sales trends, customer behavior, and profitability using Excel. Follow along to dive deep into the world of data analytics!

Back-end server for price analytics platform, enables tracking of sales statistics for various products and product clusters across different countries

🚀 Machine Learning Integration Leverage ARIMA and SARIMA models for time-series forecasting, fully deployed using Streamlit for quick and accurate predictions.

Machine Learning framework for smart detection of under and overperformance in business sales

A fully functional Telegram bot for e-commerce, featuring product browsing, cart management, order tracking, and admin tools for order processing.

This project is done as part of Codebasics Data Analyst Bootcamp

Performed EDA to derive sales insights from a dataset based on Indian festival Diwali sales

It is a simple extension that allows you to view a complete report/data of customers/orders at once. you can view your data year-wise, month-wise, or even day-wise. You can also change the date range.

Interactive retail sales analytics dashboard with ML-powered forecasting, advanced data visualization, and customizable features. Supports custom CSV uploads and includes a sample dataset for immediate exploration

End-to-end data engineering solution that transforms sales data from on-premise SQL Server to cloud-based analytics using Azure services (Data Factory, Data Lake Storage Gen2, Databricks, Synapse Analytics, and Power BI).

Online store analysis data reporting with power query, DAX and power BI for advance scenario based analysis.

Final Output File: Vrinda Store - Annual Report - 2022.xlsx

Build and Evaluate Drug Sales using Time Series forecasting

Maven Cycles Sales Analysis to highlight impactful dimensions, forecast metrics and drilldown analysis.

Data Engineering on GCP and Mage AI

This Hackathon provides you with the data of a Large Conglomerate that has departmental stores of varying sizes over different cities and towns and the task is to analyse their sales over different cities, the most profitable product of theirs and most profitable store of theirs.

This project analyzes sales data from a Walmart dataset using SQL. The goal is to extract meaningful insights regarding sales trends, customer behavior, product performance, and revenue distribution. The dataset consists of sales transactions, including details about customers, products, financials, and payment methods. 📊📈