Program that estimates the Gini coefficient of a country using Lagrange Interpolation for Lorenz curve approximation.

CredVibe is an ML credit scorecard system achieving 95%+ default recall with explainable predictions for loan risk assessment. Features KS/Gini validation, Optuna tuning, FastAPI + Streamlit deployment. Generates CIBIL-like scores, and converts to business rules for BRE integration.

This project build logistic regression model to predict the probability of default of each customer and evaluate by using Gini Coefficients

Fast computation of the Gini coefficient

Calculate Gini coefficient for each row of a csv file

資産格差シミュレーション - Agent-based wealth inequality simulation using p5.js. Visualizes how inequality emerges from random economic transactions (Yard-Sale model)

Physics-informed distributional features for pathogen-agnostic threat detection in gene expression data

Gini Coefficients + Fourier Transforms -- even the name sounds cool

A single ROC curve for multiclass tasks. Suited for highly imbalanced classes. Below you can find a link to the published pre-print paper with medical and financial applications.

Python | Pandas | Wikipedia | Analysis | Contribution | Gini-Coefficient | Lorenz curve

Analysis of wage inequality, occupational polarization, and employment structure in India using PLFS-style microdata (120,000 worker observations).

Independent replication and India-focused deep-dive of the MPIDR Scholarly Migration Database (Akbaritabar, Theile & Zagheni 2024, Scientific Data). Tracks bilateral scholar flows for 210 countries, 1998-2020.

An agent-based model simulating the emergence of wealth inequality in a three-tier economic system with a central bank, local banks, and individuals using Mesa 3.3.0

Winter Olympics interactive visualization (Tableau, Python)

💰 Credit Risk Scorecard — Gradient Boosting + Logistic Regression + Decision Tree on 5,000 loans. Industry-standard metrics: Gini 0.521 · KS 0.395 · AUC 0.761 · IV/WoE table · Credit grades A-E. Basel III aligned. Production-realistic metrics. Python · scikit-learn

Blockchain security and cryptography labs exploring Bitcoin analysis and Ethereum smart contracts

A BI framework for finance decision support, built on 2,846 U.S. Amazon households (2018–2022)