Using Python Pandas Library to Analyze Sales Data

A Superstore management system made with JavaFX.

Superstore Sales and profit

Superstore sales analysis: EDA + KPI insights + profit prediction (XGBoost/RF) + Holt-Winters forecasting.

Dashboard Superstore for Mid Term Visual Information Course Submission in Unsika 2024

SQL data analysis projects on various topics

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

This is my Power BI Project for the Master Program

Data Visualization and Storytelling

SuperStore Business Intelligence Dashboard

The spark Foundation Internship-GRIP

Cleaned and transformed the Superstore Sales dataset using Python and Pandas to prepare it for interactive dashboarding and business insights.

Plateforme de prédiction des bénéfices de vente (Superstore) avec modèle Machine Learning. Composée d'une API backend (FastAPI) et d'un tableau de bord interactif (Streamlit).

Case Superstore desenvolvido no Power BI

A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset.

A comprehensive sales performance dashboard built in Power BI, analyzing the Superstore dataset.

SQL analysis on Sample Superstore (SQLite)

Executive-level Power BI dashboard built on the Superstore dataset using the .pbip project structure for version control and collaboration. Delivers quarterly sales insights across regions, product categories, and customer segments, with a clean semantic model and consistent design system.

Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.

An interactive dashboard built in Power BI using retail sales data.