Welcome to the British Air Virtual Internship repository! This project showcases my journey and accomplishments during the Data Science Simulations Internship focused on enhancing British Airways' customer experience.
In this virtual internship, I completed two main tasks designed to provide valuable insights and improve operational efficiency for British Airways.
Business Problem:
British Airways aims to understand how customers perceive their service to enhance operations and customer satisfaction.
Solution:
I utilized the BeautifulSoup library to scrape customer reviews and service ratings from Airline Quality. The extracted data was then analyzed to provide actionable insights.
Business Problem:
British Airways wants to generate insights about customer satisfaction and train a machine learning model using booking data.
Solution:
I analyzed customer booking data to derive insights on customer satisfaction. Additionally, I trained a machine learning model to predict customer satisfaction based on the booking data.
- Comprehensive web scraping and data analysis.
- Visualization of customer feedback and ratings.
- Insights to drive operational improvements for British Airways.
- Machine learning model to predict customer satisfaction.
- Python 3.x
- BeautifulSoup library
- Pandas
- Scikit-learn
- Clone this repository:
git clone https://github.com/Makur123/Bristish-Air_Virtual-Intenship.git
- Install the necessary dependencies:
pip install -r requirements.txt
Run the web scraping script to gather data:
python web_scraping.pyAnalyze the data using the analysis script:
python data_analysis.pyTrain the machine learning model using the booking data:
python train_model.pyContributions are welcome! Please fork this repository and submit a pull request with your improvements.
For any questions or suggestions, feel free to reach out via GitHub Issues.