This project performs exploratory data analysis (EDA) and sales forecasting for a retail dataset. It leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Facebook Prophet to analyze sales trends and predict future sales.

Gain valuable insights into retail sales with the "Walmart Retail Performance Dashboard" in Microsoft Excel. This user- friendly tool facilitates an in-depth analysis of key sales metrics, providing a comprehensive view of Walmart's performance. Make data-driven decisions for informed and strategic business outcomes.

Advanced Excel Mini Project — Retail Store Sales Analysis using Data Cleaning, Formulas, Pivot Tables, Charts and Dashboard

Some AI notebooks didactic applications

Machine Learning project for predicting retail sales trends using data analysis, forecasting models, and customer behavior insights.

Retail Sales Data Analysis | SQL | MSSQL | 15 Business Problems Solved | CTEs | Window Functions | Sub Queries | EDA

This repository contains the Regional Sales Analysis Dashboard project, developed as part of a Tableau course-end project. The dashboard provides a dynamic and interactive tool to compare the sales performance of two selected regions side by side, empowering management with actionable insights for strategic decision-making.

ML to App Project. A Regression Machine Learning model for retail sales prediction embedded into App using Streamlit

This is a sample code repository that leveraged "Walmart Dataset (Retail)" from Kaggle to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.

PSRC's region-level macroeconometric forecasting model (EcoNorthwest) - superseded by REMI

Time Series Analysis of Walmart Retail Sales – Internship project analyzing sales trends, seasonal patterns, and revenue breakdowns using Pandas, Matplotlib, and Seaborn.

A retail sales python script that transfers data into a Postgres database and programmatically reads back the data. Uses Pandas to display a summary of different product categories.

Retail sales data analysis project with visualizations and business insights using Python.

SQL project for retail sales analysis with data cleaning, exploratory analysis, and business insights

This repository contains the analysis of Iowa liquor retail sales data, aimed at uncovering sales trends and forecasting future sales patterns. The project involves data cleaning, preparation, and advanced time series analysis using Microsoft SQL Server and Google Colab.

A structured relational database project built on Microsoft SQL Server using a retail sales dataset. Covers data cleaning with Python/Pandas, schema design with ER diagrams, and SQL-based business insights — developed as part of a Data Science internship.

''SQL-based Retail sales Analysis project focusing on Data cleaning, Exploratory Data Analysis(EDA), and deriving business insights using PostgreSQL.''

Bu proje kaggle üzerinde Retail Sales Dataset veriseti üzerinde yaptığım analizlerin olduğu bir projedir

Open source commerce analytics and resources to bring powerful insights to life.

This project demonstrates the development of a modern data warehouse using PostgreSQL to consolidate and model retail sales data. It includes dimensional modeling with a star schema, ETL processes and data transformation using SQL to prepare clean, analysis-ready datasets to support business insights and analytical reporting.