DATA

Turning data into evidence you can trust.

I use statistics, machine learning, and natural language processing to extract, evaluate, and communicate what data can tell us, whether it comes as numbers or as text.

My background in experimental psychology and linguistics shapes how I work with data: start from a clear question, choose methods that fit it, and report results honestly, including their uncertainty.

EXPLORE

From raw data and text to insight.

▥ 01

Data analysis & statistics

Data preparation, exploration, statistical inference, and modeling, with reproducible workflows.

  • Data cleaning
  • Exploratory analysis
  • Inference
  • Visualization
Explore analysis
∿ 02

Machine learning

Predictive modeling and methods for learning patterns from data, evaluated with care.

  • Predictive modeling
  • Model evaluation
  • Feature engineering
Explore machine learning
03

Natural language processing

Working with text as data: parsing language and turning sentences into structured, usable information.

  • Text processing
  • Information extraction
  • spaCy
Explore NLP

APPROACH

How I work with data.

01

Start with the question, then decide what data and methods can answer it.

02

Explore and clean the data before trusting any model built on it.

03

Match the method to the problem, from classical statistics to machine learning and NLP.

04

Communicate findings clearly, with visuals and honest uncertainty.

View code on GitHub ↗