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

This project is done as part of Codebasics Data Analyst Bootcamp

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

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

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

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

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Sales & finance analytics project using Excel — ETL with Power Query, data modeling with Power Pivot, and KPIs with DAX.

An interactive Streamlit web app for sales analytics and KPI reporting with Supabase integration.

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

In this repository, sales analysis of 5-year-period is analysed. Lots of linear regression model have been applied. Finally, ensemble method is applied.

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

Build and Evaluate Drug Sales using Time Series forecasting

An online app where dealers log in, enter sales data, and instantly see key performance metrics, replacing complex spreadsheets with a simple dashboard.

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. 📊📈

A Tableau sales and customer analysis dashboard showcasing sales trends, KPIs, and customer insights using Non-EU dataset.