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.

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

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

SuperStore Business Intelligence Dashboard

SQL data analysis projects on various topics

This is my Power BI Project for the Master Program

Data Visualization and Storytelling

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.

📊 Sales Analytics Dashboard built with Power BI — analyzing $2.30M in sales across regions, segments, categories & ship modes with dynamic slicers and DAX-powered KPIs.

An interactive Machine Learning web application built with Streamlit, featuring Time-Series Forecasting and Customer RFM Segmentation.

The spark Foundation Internship-GRIP

End-to-end Sales Analytics using Python • SQL • Excel • Power BI | Superstore Dataset 2014-2017

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

Case Superstore desenvolvido no Power BI

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

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). — https://huggingface.co/kjd-dktech/superstore-profit-predictor

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