Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

Premier Data Scout - CETYS MBA 2025

Advanced Excel dashboard designed to analyze product category performance and provide interactive insights into monthly sales trends. Uses tools like regression analysis and combo boxes to enhance decision-making with key metrics on sales and profit.

A time series forecasting project using ARIMA and Python to predict Netflix’s quarterly subscription growth, aiding data-driven decisions in content strategy and business planning.

This project analyzes AtliQ Grands' hotel revenue, occupancy trends, and profitability using Power BI. The interactive dashboard provides insights into RevPAR, ADR, market share, and customer behavior to help the management make data-driven decisions. 🔗 Live Power BI Dashboard

The Hospitality-Domain-Project is a Power BI dashboard for AtliQ Grands, enabling them to track key metrics, make data-driven decisions, and achieve a 20% efficiency boost and 15% revenue growth.

Developed an interactive Power BI dashboard by integrating transaction and customer data from a SQL database to provide real-time insights. Streamlined data processing to monitor key performance metrics and trends, sharing actionable insights with stakeholders to support data-driven decision-making.

Data-driven analysis inspired by the Moneyball approach, identifying affordable replacements for key Oakland A's players using R and sabermetrics to support cost-effective recruitment.

This repository contains a Power BI dashboard designed to analyze Amazon's global sales performance. It provides dynamic, interactive visualizations of sales by region, segment, and customer, helping to uncover insights and guide data-driven business decisions.

A Python script to analyze sales performance using Pandas and Matplotlib. Loads, cleans, and visualizes sales data, calculating key metrics (total sales, average order value, unique customers) and generating trends (monthly sales, product category performance). Includes error handling for robust execution.

This repository contains materials for a Data Analysis Hackathon I designed to provide learners with practical experience in analyzing e-commerce sales and customer insights. Participants utilize tools such as Excel, SQL, Python, and Power BI to explore datasets, uncover trends, answer key business questions, and generate actionable insights.

PwC Simulation: KPI and Gender-focused HR Dashboard by Power BI

Modeling Agri-finance Credit Risk with Data & Machine Learning using Python (Jupyter Notebook)

A data-driven approach to designing an optimal Data Science curriculum. This project extracts skills from job postings, applies NLP and clustering techniques (K-Means, Hierarchical, DBSCAN), and maps industry demands to educational recommendations. Uses Python, Scikit-learn, OpenAI embeddings, and Seaborn for visualization.

Tableau de bord R Shiny pour le monitorage du développement professionnel en établissement scolaire, intégrant une récolte de données via LimeSurvey et des visualisations dynamiques par profil utilisateur (enseignant, direction, chercheur).