Projects

Auditing a Pre-Trained Hugging Face Financial Risk Model

This project introduces two R packages — hfhub and tok — and applies them to a structured metadata audit of FinBERT (ProsusAI/finbert), a BERT-based sentiment classifier widely deployed in fintech AI pipelines.

May 11, 2026

Policy as Code - A Simple Introduction

policy as code

This project introduces the Policy as Code concept through the simplest possible worked example — a six-condition password complexity validator — to make the pattern legible to both compliance professionals and engineers.

Apr 30, 2026

When the Clock Starts Ticking - A Survival Analysis of Business Continuity Recovery Times

survival analysis

kaplan-meier

pyQuarto

Survival analysis exposes where RTO targets break down — and why your mean recovery time is lying.

Apr 14, 2026

Infrastructure-Based, Machine-Learning Phishing Detection

Machine Learning

LightGBM

rQuarto

Analyzing the digital fingerprints of URLs through machine learning and the lightGBM model to detect incoming phishing emails.

Mar 31, 2026

Bayesian Kelly Criterion - From Point Estimate to Probability Distribution

Bayes' Theorym

Kelly Criterion

rQuarto

Bayesian Kelly position sizing: replaces the point estimate with a Beta posterior, derives the full Kelly distribution across four scenarios, and builds a staking policy from estimation uncertainty.

Mar 17, 2026

Bayesian Inference in Lending Risk

Bayes' Theorym

Quarto

Credit Risk

Bayesian lending risk analysis in R using rstanarm & bayestestR — posterior distributions, credible intervals, ROPE, and pd applied to real-world Lending Club interest rate data.

Mar 3, 2026

Machine Learning and Survival Analysis - Predicting customer churn using complex statistical modeling

Quarto

Machine Learning

Survival Analysis

A comprehensive data science framework leveraging machine learning and survival analysis for identifying, analyzing, and predicting customer attrition within a consumer credit card division.

Feb 17, 2026

Predicting Vulnerability Exploitation - A Machine Learning Approach

Quarto

Vulnerability Management

Machine Learning

Prediction analysis of CVE exploitation using Machine Learning. Integrates NVD, EPSS, and CISA KEV data to forecast active threats. Features Random Forest modeling, SMOTE balancing, and executive risk visualization to enable proactive vulnerability prioritization.

Feb 3, 2026

Coding the Tail - Implementing Block Bootstrap & Extreme Value Theory in R

Quarto

Extreme Value Theory

Monte-Carlo Simulation

A technical framework and narrative summary project for implementing Block Bootstrap and EVT in R. It provides a practical demonstration of how to quantify tail risk in high-volatility assets (specifically Bitcoin) using advanced statistical methods that outperform standard Gaussian models.

Jan 15, 2026

Modeling Defender’s Dilemma

Shiny

Markov Chain

Monte-Carlo Simulation

An interactive R Shiny app modeling the Defender’s Dilemma via Markov Chains & Monte Carlo simulations. Visualizes the stochastic nature of resource depletion (SOC fatigue, budget) vs. infinite attacks, calculating a specific “Probability of Ruin” to guide risk management.

Jan 5, 2026

Modeling Gamblers’ Ruin

Shiny

Markov Chain

Monte-Carlo Simulation

An Interactive R Shiny app simulating Gambler’s Ruin via Monte Carlo methods. Visualizes Markov Chain dynamics to demonstrate how finite resources face inevitable ruin against infinite odds. Features dynamic inputs for capital & win rates to illustrate risk in trading & cybersecurity.

Dec 18, 2025

Credit Default Risk Scorecard

Quarto

Machine Learning

Credit Risk

Credit risk scorecard built using R, Quarto, & tidymodels. Integrates tuned ML and Monte Carlo sims for 5-tier risk classification. Features interactive dashboards and expected loss analysis to drive risk-based recommendations and capital requirement estimates.

Dec 1, 2025

Cybersecurity Landscape Threats

Quarto

Cybersecurity

Plotly

The Evolving Cyber Threat Landscape, provides a comprehensive, data-driven analysis of global cybersecurity trends from 2015 through 2024. The study aggregates data from over 3,000 documented incidents to visualize the escalating scale and sophistication of digital threats.

Nov 15, 2025

Bitcoin Halving Visualization

Python

Bitcoin

Data Visualization

Bitcoin’s 21 million coin cap is maintained through an elegant mathematical design that combines block rewards and halving. This visualization shows how the supply approaches its maximum through programmatic halving every 210,000 blocks (approximately 4 years).

Oct 15, 2025