I will perform exploratory data analysis and deliver a clear report
Associate Professor of Probability Statistics
Sobre este Serviço
As a university lecturer in Probability & Statistics with a background in stochastic modeling, I bring rigorous analytical thinking to every dataset I work with.
I'll take your raw, messy data and turn it into clear, actionable insights through exploratory data analysis (EDA):
- ️ Data cleaning and structuring
- ️ Identifying trends, patterns, and anomalies
- ️ Summary statistics and correlation analysis
- ️ Clear, easy-to-read visualizations
- ️ A concise written report explaining what your data shows
I'm currently building my hands-on portfolio in data science, bringing a solid academic foundation in statistics to every project; careful, honest, and well-explained analysis, not just numbers on a page.
What you'll get:
- Basic: A quick, focused EDA with key stats and visuals
- Standard: A full EDA report with deeper analysis
- Premium: A comprehensive report plus a live consultation call
Tools: Python (Pandas, NumPy), Jupyter Notebook, Excel
Send me your dataset and a short note on what you're hoping to learn. I'll take it from there.
Perguntas frequentes
What file formats can I send you my data in?
I accept CSV, Excel (.xlsx), and Google Sheets. If your data is in another format, just message me first and I'll let you know if I can work with it.
How much data can you handle?
It depends on the package: Basic covers up to 500 rows, Standard up to 2,000 rows, and Premium up to 5,000 rows. If your dataset is larger, message me before ordering and I'll give you a custom quote.
Do you need to know what I'm looking for in the data?
Yes, please! A short note on what questions you want answered or what decisions you're trying to make helps me focus the analysis on what actually matters to you.
What software/tools do you use?
Python (Pandas, NumPy) in Jupyter Notebook, and Excel when appropriate. All visualizations are delivered as image files, and reports as PDF or Word documents.
Can you build predictive models or machine learning solutions?
My current focus is exploratory data analysis — understanding and summarizing what your data shows. I'm actively building my machine learning skills, so for now this Gig is best suited to analysis and reporting rather than predictive modeling.
Is my data kept confidential?
Yes. I only use your data for the purpose of this project and won't share or reuse it elsewhere.

