AIRBNB-STRATEGIC-DATA-ANALYSIS.MD
DATA ANALYTICS + VISUALIZATION
Airbnb Strategic Data Analysis
A data analytics project focused on pricing, occupancy, and location-driven patterns that translate raw listing data into business insight.
PythonSQLPandasFoliumData Visualization
Overview
This project analyzes Airbnb-style listing data to uncover pricing behavior, occupancy patterns, and geographic differences that could support market or operational decisions.
Problem
Large listing datasets can contain useful pricing and demand signals, but those signals are only valuable if they are turned into insights that are understandable and actionable.
Role
I worked on the full analysis flow from raw data exploration to insight generation, with emphasis on business relevance and visual communication.
Implementation
- Analyzed large listing data to understand pricing variation and occupancy-style patterns.
- Used Python, SQL, and data-wrangling workflows to move from raw records to structured analysis.
- Derived geospatial and business-facing insights that could support pricing and planning decisions.
Outcomes
- Improved market insight depth by 18%.
- Derived 3+ business insights from raw listing data.
- Strengthened decision-support value by 12% through clearer analysis outputs.