Thesis & Research Advisory
Asesoría

Thesis & Research Advisory

Methodological and statistical guidance for undergraduate and graduate theses. I help you design your methodology, process and analyze your data in R, Python and PowerBI, and interpret your results with confidence — so you understand and can defend every step. Advisory and coaching, from proposal to defense. This is guidance to strengthen your own work, not a substitute for it.

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+6
Years of experience
MSc
Applied Statistics
Official
Statistical methodology
R · Python
Power BI
USAC
University teaching
Audit
Data that withstands scrutiny

Methodological and statistical guidance for undergraduate and graduate theses. I help you design your methodology, process and analyze your data in R, Python and PowerBI, and interpret your results with confidence — so you understand and can defend every step. Advisory and coaching, from proposal to defense. This is guidance to strengthen your own work, not a substitute for it.

Undergraduate and graduate students facing the statistical or methodological stage of their thesis; researchers who need support with data analysis.

Results

A solid, defensible methodology; clean data and correct analysis you understand; and the confidence to present your results. Delivered by an economist with a Master's in Applied Statistics and university teaching experience.

Sample · Illustrative data

This is what your data could look like

We transform the complexity of your data into rigorous analysis that reveals the key insights for your thesis, market research, project, or business. We provide the clarity you need to interpret results, predict trends, and prepare to make decisions or support findings with solid evidence. We have the perfect solution for you.

Monthly trend
Distribution by segment
0%
Model accuracy
0
Customer segments
Q0M
Projected revenue
0%
Explained variance (R²)
Customer segmentation (k-means)

Grouping by spend and frequency

Prediction (regression)

Fitted model over observed data

Variable importance (random forest)

Which factors drive the outcome