Joan Henry

I am a Data Scientist passionate about turning complex data into actionable insights. My work spans machine learning, statistical modelling, and data visualisation.

I have experience working with structured and unstructured datasets to build predictive models, conduct exploratory analyses, and communicate findings to both technical and non-technical audiences. I am always looking for interesting problems at the intersection of data and real-world impact.

CV / Résumé    GitHub

Joan Henry

Projects

2026 Customer Churn Prediction — A machine learning project predicting customer churn for a telecom company using logistic regression, random forests, decision trees, kNN, and XGBoost. [code]
2026 Bank Marketing Analysis — Predicting whether a customer will subscribe to a term deposit using data from a bank's direct marketing campaigns. [code]

Skills

Languages & Tools
  • Python
  • R
  • SQL / PostgreSQL
  • Git & GitHub
  • JavaScript
Machine Learning
  • Supervised & unsupervised learning
  • Deep learning (PyTorch, TensorFlow)
  • NLP & transformers
  • Time-series analysis
Data & Infrastructure
  • Data visualisation (Matplotlib, Plotly)
  • ETL pipelines
  • Statistical modelling

Blog

April 2026
Predicting Customer Churn with Machine Learning

Imagine you run a telecom company. A new competitor has just entered the market and is offering attractive deals to new customers. You start worrying: which of your existing customers are most likely to leave?...

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April 2026
Predicting Bank Term Deposit Subscriptions with Machine Learning

Every time a bank calls you trying to sell a product, there is a team behind that campaign hoping you will say yes. But most people do not. In this project, I worked with real...

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