Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways
This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.
ML pipeline using Logistic Regression to predict customer purchase intent. Involves data preprocessing, model training, hyperparameter tuning, and evaluation, aimed at helping businesses understand customer behavior and optimize sales strategies.
Churn Shield empowers B2B companies to: Predict customer churn in real-time using machine learning Analyze retention risks through an interactive dashboard Make data-driven decisions with stakeholders
A virtual internship program in Forage. For British Airways, As a first part, web scraped customer reviews from SkyTrax and analysed sentiments of the reviews. As a second part, analysed customer behavior data to predict if they complete booking a flight.
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