Calculated and analyzed the key metrics of Hospitality data using My SQL.
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Updated
Nov 19, 2024
Calculated and analyzed the key metrics of Hospitality data using My SQL.
Exploratory Data Analysis: Projet d'analyse des offres d’hébergement de Booking.com et d’autres sources, incluant collecte de données, nettoyage, modélisation prédictive et tableau de bord interactif.
An end-to-end Power BI Business Intelligence solution for the hospitality industry. Features dynamic DAX measures for Revenue (RevPAR, ADR) and interactive tooltips to drive data-driven decision-making for hotel managers.
Customer loyalty segmentation & strategic recommendations using SPSS discriminant analysis to boost retention and competitive positioning at Shiva Tourist Dhaba.
Using Python Analyzing hospitality data to optimize operations, enhance customer experience, and boost revenue. Focus areas: occupancy trends, personalized services, pricing strategies, and risk management. Tools: Python (Pandas) and EDA. Enabling data-driven decisions for business success.
This repository contains a project for analyzing hospitality industry data. It includes an SQL script for data analysis, raw data in Excel format, and a Tableau dashboard preview. The project provides insights into key metrics like revenue, occupancy, and booking trends.
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