IndiaTourismIntelligence
Decades of tourism data synthesized into strategic insights.
A data analysis project processing 40 years of tourism statistics to reveal seasonality trends and customer segments.
Project Information
Client
Government Advisory
Year
2022
Role
Data Analyst
Scope
- Big Data Analysis
- Visualization
- Strategy
Overview
Processed 40 years of historical data from 8 sources to optimize marketing strategies and resource allocation for Indian tourism.
The Challenge
Data was siloed in CSVs. Stakeholders relied on intuition rather than facts, leading to generic and inefficient marketing campaigns.
The Solution
Built a Python analysis pipeline to clean and merge datasets. Performed EDA to identify seasonality and customer segments. Visualized insights with Seaborn/Matplotlib.
Technology Stack
Core
- Python
- Pandas
Visualization
- Matplotlib
- Seaborn
- Jupyter
Key Impact
Optimized marketing direction by estimated 20%. Established a baseline to measure post-COVID recovery. Identified Top 10 monuments for targeted resource allocation.
Growth Trends
Seasonality Heatmap
"This report moved us from 'guessing' to 'knowing'. Seeing the seasonality heatmap saved us so much time in useless debates."
