Transparent statistical pipeline for identifying biomarkers associated with neurological disease progression. Spearman correlations, Mann-Whitney group comparisons, volcano plots, and FDR correction.

Airline Customer Satisfaction Predictive Modelling using Python, Jupyter Notebook.

Transversal project in R: Biostatistical análisis applied to genetic expression

Предиктивный анализ оттока клиентов

Statistical analysis of 15 global airline stocks during COVID-19's two waves (2020) — using Spearman correlation, Wilcoxon Signed-Rank Test, and trend analysis in Excel to examine how adjusted close prices and trading volumes shifted between the panic and recovery phases.

A consolidated, multi-domain data science repository showcasing advanced data wrangling, statistical modeling, text mining, and machine learning. This Master's-level portfolio spans seven distinct projects—tackling challenges in FinTech, biostatistics, aviation, and developer ecosystems—using Python, Pandas, NumPy, & Scikit-Learn.

Jupyter Notebook applying statistical theory to housing price prediction, using techniques like the Kolmogorov–Smirnov test, Box-Cox transformation, Pearson/Spearman correlations, chi-square tests, and feature importance, with analysis of prediction accuracy across price ranges.

Statistical analysis of birthweight and related predictors using Python

Java implementation for correlation coefficients

Correlation-based network analysis comparing CWL vs. BWL conditions with sign-flip permutation inference (paired design)

Tip and bill correlation analysis with Python, Seaborn, and SciPy.

analyse student exam performance using nonparametric statistical methods

How do GDP and tariffs shape U.S. automotive trade? Analysis of imports, exports and trade balance across 30+ countries from 2008–2022 using ITA, World Bank and WITS data.

Machine Learning solutions for a fintech. Improving the success rate of term deposits