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.
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
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?...
Read more →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...
Read more →Contact
Feel free to reach out via any of the channels below.