Get your data cleaned, analysed, and visualised — so you can focus on your research
I help students and researchers with the data side of their work — cleaning messy datasets, running appropriate statistical tests, and producing clear visualisations that hold up to academic scrutiny. Everything delivered with full documentation so you understand exactly what was done and why.
Stats & Quantitative Analysis
Reproducible Notebooks
Publication-Ready Visualisations
Focused on the technical analysis side — not academic writing
Survey exports, experimental results, scraped data — I handle messy real-world datasets and return something structured, consistent, and ready to analyse.
Descriptive stats, hypothesis tests (t-tests, ANOVA, chi-square), correlation, regression — applied correctly for your data type, with results explained in plain language.
Clean, publication-quality charts and figures in Python (Matplotlib, Seaborn) or Tableau — formatted to match your institution's style requirements.
All work delivered as documented Jupyter notebooks — so your supervisor can follow every step, and you can explain and defend your methodology confidently.
A simple, collaborative process aligned with your academic deadlines
We go through your research questions, your dataset, and what your supervisor or assignment requires. I'll tell you honestly what I can support and what's outside my scope.
I outline exactly what I'll deliver, by when, and at what cost — agreed upfront. Academic deadlines are real; I take them seriously.
I run the analysis with step-by-step documentation of every method, assumption, and decision — so you can explain your choices to your supervisor or examiner.
You receive your cleaned data, results, visualisations, and Jupyter notebook. We go through the findings together so you fully understand — and can discuss — every result.
Anyone facing a quantitative analysis challenge in an academic context
BSc, MSc, or PhD students who need support with the data analysis chapter of their thesis — especially if statistics isn't your primary background.
Surveys, experiments, observational studies, or secondary data analysis that needs proper statistical treatment and clear documentation.
If your quantitative methods section feels overwhelming, I can help you design the analysis, run it correctly, and understand it well enough to defend it.
I provide technical data analysis support only. I do not write academic text, interpret findings in your voice, or engage in any form of academic misconduct. The analysis is a tool you use — the understanding and the writing are yours.
Tell me about your project, your dataset, and your deadline. I'll reply within 24 hours with an honest assessment of what's possible — no commitment required.