✈️ British Airways Virtual Internship

Welcome to my repository for the Data Science Virtual Internship Program with British Airways through Forage! 🌟

During this internship, I had the opportunity to dive deep into data science, applying various techniques to real-world airline data. This experience was both challenging and rewarding, offering valuable insights into how data science can drive impactful business decisions and improve customer experiences. Here’s a comprehensive overview of what I worked on:

📋 Task Overview

What You'll Learn

This internship provided a deep dive into the following areas:

• Data Scraping & Collection: Master the art of extracting data from web sources.
• Sentiment Analysis: Learn how to interpret and classify customer feedback.
• Data Cleaning & Preparation: Develop skills in preprocessing data for analysis.
• Model Building & Visualization: Gain experience in creating predictive models and visualizing results.
• Effective Presentation: Presenting findings and insights using PowerPoint. 🎤📊

What You'll Do

• Scrape Customer Feedback: Gather and analyze data from third-party sources.
• Analyze & Present Insights: Use PowerPoint to showcase your findings and recommendations. 📝

🛠️ Task 1: Web Scraping & Sentiment Analysis

Description

• Web Scraping: Utilized Python to scrape unstructured review data from Skytrax. 🌐
• Sentiment Analysis: Processed and analyzed customer reviews to identify positive and negative sentiments. 😃😡
• Data Preparation: Cleaned the data to ensure it was ready for insightful analysis.

Data Cleaning Steps

1. Data Cleaning: Removed unwanted non-alphabetic characters. 🚫🔠
2. Tokenization: Split the text into meaningful words. 🔍
3. Stopwords Removal: Filtered out common but less informative words. 🚫🗣️
4. Lemmatization: Normalized words to their base form for consistency. 🔄

Analysis Techniques

• Sentiment Analysis: Applied VADER to score and classify sentiments. 📈
• Visualization: Created engaging pie charts, histograms, and word clouds to represent the data. 🥧📊🌟

Deliverables

• A PowerPoint presentation that highlights key insights and analysis results. 📑

🧑‍💻 Task 2: Predicting Customer Buying Behavior

Task Overview

Learn how predictive modeling helps British Airways acquire customers before they embark on their holidays. 🌟

What You'll Learn

Understand how using data and predictive models can enable airlines to proactively acquire customers by analyzing booking data. 📊

What You'll Do

1. Prepare a Dataset: Manipulate and preprocess the provided customer booking data. 🔧
2. Train a Machine Learning Model: Build and train a predictive model to forecast customer buying behavior. 🤖
3. Evaluate and Present Findings: Assess the model's performance and interpret how each variable contributes to the predictive model's power. 📈

Background Information

Customers today have vast access to information, changing the buying cycle significantly. Airlines must be proactive to attract customers before their travel dates. Predictive models, driven by high-quality data, are essential for this approach. You'll prepare data, build a model, and evaluate its predictive capabilities.

Deliverables

• A detailed PowerPoint presentation showcasing the model's performance, insights, and the contribution of each variable to its predictive power. 📊🗂️

🔗 Program Link

Explore the internship program details and get started with Forage. 🌐

✨ Acknowledgements

A big thank you to British Airways and Forage for offering this fantastic learning opportunity. Your support and resources have been instrumental in my journey. 🙏🙌

Feel free to explore the repository, and don’t hesitate to reach out if you have any questions or suggestions. Let’s connect and continue learning together! 🤝

---

Happy exploring and learning! 🚀📚