I will data analysis, visualisation, time series forecasting with python
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Turn your raw data into clear insights and reliable forecasts.
As a Data Science postgraduate (MSc) at the University of Hertfordshire in the United Kingdom, I use Python to create end-to-end analytic pipelines that do anything from cleaning up complex data to creating forecasting models that are verified rather than conjectured.
What you get:
- Preprocessing and data cleaning (formatting, outliers, and missing numbers)
- Investigative data analysis using lucid, labelled visuals
- Analysis of trends, seasonality, and correlations
- You can forecast using machine learning (XGBoost) or statistical (SARIMAX) models, or I'll suggest one.
- A well-written synopsis of the results rather than only charts
Why work with me:
- Formal instruction in machine learning, statistics, and model assessment (MSc Data Science) I don't use a lot of jargon while explaining outcomes.
- Timely delivery and unambiguous communication
Tools: Python, Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib/Seaborn, Jupyter Notebook. Message me before ordering if your dataset is larger than the package limits or you need a custom scope.
FAQ
Can you work with data that has missing or messy values?
Yes — data cleaning is included in every package.
What forecasting methods do you use?
Depending on your data, I use statistical models (SARIMAX) or machine learning models (XGBoost/Random Forest), and I validate accuracy before delivering.
Do you sign NDAs?
Yes, happy to sign an NDA for business or sensitive data.
What file formats can you deliver?
Google Colab Notebook (.ipynb), PDF/Word report, and Excel/CSV outputs on request.

