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.

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

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!

🚀 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.

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

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.

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

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

Data Engineering on GCP and Mage AI

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

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.

Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.

Interactive Power BI presentation exploring key insights into video game sales by region, platform and genre

This project is done as part of Codebasics Data Analyst Bootcamp