Got experimental data that doesn't explain itself? I turn it into a clean, reproducible analysis — and a report you can hand to a colleague, supervisor or client.
Physicist-engineer (materials science background), working in scientific Python: NumPy, SciPy, pandas, matplotlib.
What I do
• Cleaning: duplicates, missing values, unit & format normalization
• Statistics & fitting: descriptive stats, curve fitting (Gaussian / Lorentzian / custom models), error estimates
• Visualization: publication-style plots
• Reporting: methods + figures + conclusions in one document
What you get — fixed Basic, $40:
• Cleaned dataset (CSV)
• 3 charts + short written summary
• Up to 10k rows · delivery in 48h
Bigger scope — several datasets, model fitting, scheduled re-runs, a reusable pipeline — message me and I'll send a custom offer.
How we work
- You send the data (any common format) + the question you need answered
- Free assessment and a fixed quote — usually within an hour
- Draft results in 24h, final after your feedback
The charts and the report in my portfolio images are real script output, not mockups — that is exactly what you get as the deliverable.
My rule: honest methods, no black boxes. Rerun the script — get the same numbers.
