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A curated list of awesome posts, videos, and articles on leading a data team (small and large)

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

A statistically-sound agentic build framework that employs agentic loops to create code artifacts (whether a script, a skill markdown file, etc). Crucially, it splits verification data into the classic data science-like dev, validation, and final test sets to avoid overfitting.

A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.

Python library for generating beautiful, retro ASCII flowcharts from simple text input.

Causal inference teaching materials for a proposed PyData NYC 2022 tutorial

Materials for a proposed Causal Inference Tutorial session at SciPy 2023

My implementation of Mu Zhu's method for an automated elbow method

An agent-based model for obesity, based on real NHANES data

My highly customized bash profile

Materials for a proposed Causal Inference Tutorial session at SciPy 2024

I'm trying to become fluent in Rust, so that I'll then be comfortable with reviewing Rust code generated by agents. Here are agent instructions for reviewing my work.

My personal repo

Attempt at AI that can parse the board tiles from an image and then suggest your move

No description.

Trends in baby names: clustering time series analysis

Simulated annealing for variable selection in linear models

A function that uses the SuperLearner ensemble prediction method to estimate associations with bootstrap confidence intervals

This R script creates a US map of county-level socioeconomic disadvantage

My personal website (resume, blog, misc thoughts). Built with Lektor at this repo: https://github.com/ronikobrosly/personal_github_io_website

My attempt at implementing Robberecht et al.'s soccer prediction method

All artifacts related to the SciPy 2026 tutorial proposal

Contains markdown files for agents, skills, and toy examples of specific services that an AI/ML Engineer might need to build.

A repo to clarify how rust imports, modules, and crates work

My first Rust project! It's a stupid simple command-line tool for quickly generating secure, random passwords.

Automated data broker opt-out runner — removes your personal info from 30+ people-search sites on a monthly schedule

Code to render the contents and cover of the cookbook

A toy python API application outfitted with all of CC's features. A good reference when creating a new agent-native application.

Personal research project to understand AI token economics (present and future)

Inspired by Hardt et al.'s Petshop simulation, here is an expanded version to evaluate RCA methods

A demo-friendly FastAPI microservice designed to showcase the value of OpenTelemetry (OTel). This service combines full-text search, ML-based recommendations, and external API signals to rank documents, with built-in chaos engineering capabilities.

ASCII drawing tool that allows for gradients and opacity

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A collection of DS blog posts, papers, etc that I want to keep track of. None of these are related to DS or data team leadership

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

materials for MAC 2024

Misc datasets for interviews, conversations, etc

No description.

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Cookiecutter templates for python projects (complete with makefiles, dockerfiles, testing templates, and more)

Blog Checker is a tool to automate the process of checking personal websites and blogs for updates.

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Tools used to generate the SciPy conference proceedings

An index of algorithms for learning causality with data

No description.

Case study for Surgo Foundation

A Python package for time series classification

[HELP REQUESTED] Generalized Additive Models in Python

Using LSTMs to classify DNA sequences

My attempt at the "Santa's Stolen Sleigh" optimization problem

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Python code for the SciClarify app