Data scientist and R developer based in Chile, working at the intersection of credit risk, statistical modelling, data visualization, and interactive applications.

I build tools and data products using R, Shiny, Quarto, SQL, and JavaScript.

An R interface to the Highcharts JavaScript visualization library.

highcharter provides a flexible way to create interactive charts, maps, stock charts, custom themes, and visualizations from common R objects.

A collection of practical tools for developing and evaluating credit-risk models.

Several of these utilities have been used internally by model-development teams I have worked with, supporting workflows such as scorecard development, variable selection, model diagnostics, and performance evaluation.

Interactive Shiny applications developed through my experience teaching R programming, statistics, machine learning, and Shiny.

The repository includes visual applications for topics such as bias–variance, decision trees, K-means, logistic regression, ARMA processes, and matrix decompositions.

• celavi — Permutation-based variable importance and iterative feature selection.
• bcchr — Access to statistical series from the Central Bank of Chile.
• yyyymm — Utilities for working with year-month periods and date sequences.
• rchess — Chess movement validation, game notation, and chessboard visualization tools.
• figletr — Tools for parsing FIGlet fonts and rendering text in R.

• Credit-risk modelling and scorecards
• Feature selection and model interpretation
• Interactive data visualization
• Shiny and Quarto application design
• Graph analysis and synthetic data
• Open-source R development

• Website: jkunst.com
• GitHub: @jbkunst