QwenPaw tool plugin: multi-judge consensus ranking — cross-family LLM judges each rank an independently anonymized slate; mean-rank consensus, Spearman report, per-judge position-stability.
Python/Seaborn scripts computing and plotting Pearson, Spearman and Kendall correlation matrices as heatmaps, demonstrated on Mariana Trench morphometry (with Nigeria band-correlation variants). Reusable scientific-plotting example.
Transparent statistical pipeline for identifying biomarkers associated with neurological disease progression. Spearman correlations, Mann-Whitney group comparisons, volcano plots, and FDR correction.
Exploratory data analysis identifying the customer behavioral drivers of annual revenue for an e-commerce platform using Python. Performed correlation analysis across customer metrics to surface the strongest revenue predictors and inform data-driven business recommendations.
Does pediatric cancer research activity align with survivor harm? A Simpson’s Paradox case study using ~15,000 ClinicalTrials.gov records — shows how disease-category aggregation can manufacture a false correlation that vanishes under subtype-level analysis.
Предиктивный анализ оттока клиентов
4. Korelacija / zavisnost Pearson, Spearman, Kendall, partial correlation, distance correlation, Hoeffding D, MIC/MINE, maximal correlation, mutual information, conditional MI, normalized MI, pointwise MI (PMI), HSIC, copula (Gaussian, Clayton, Gumbel, Frank, t-copula), rank correlation matrices
Transversal project in R: Biostatistical análisis applied to genetic expression
Machine Learning solutions for a fintech. Improving the success rate of term deposits
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 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.
Exploratory Data Science project analyzing spending behavior and financial sufficiency among a voluntary sample of KKU students.
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.
Análisis territorial de concentración empresarial y términos de giro en Chile, por comuna y rubro económico, con datos del SII 2005–2024.
Correlation-based network analysis comparing CWL vs. BWL conditions with sign-flip permutation inference (paired design)
Tiny dependency-free calculator: compute the Pearson & Spearman rank Information Coefficient of a trading signal from predictions vs realized returns. By microalphas.com
Java implementation for correlation coefficients
Statistical analysis of birthweight and related predictors using Python
Statistical factor research platform with Spearman Rank IC, quantile analysis, long-short diagnostics, and reproducible validation.
Data mining analysis of F1 qualifying performance as a predictor of race outcomes (2006–2023). Includes Spearman correlation, contingency analysis, OLR, and a novel Team Reliability vs Pace quadrant framework.
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