Agent skill · data analytics · alirezarezvani
senior-data-scientist
Design experiments and analyze tabular data: A/B tests, causal inference, feature engineering, model evaluation. Use whenever the user asks how to set up or read an A/B test, whether a change caused a lift, which features to build, or how good a model is.
Why this skill is useful
Adds executable Python scripts for A/B testing and feature engineering pipelines that enhance data analysis capabilities.
What it needs
Requires numpy, pandas, scikit-learn, scipy installed locally. About 4k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.
What this skill does
Senior Data Scientist World-class senior data scientist skill for production-grade AI/ML/Data systems. Core Workflows 1. Design an A/B Test 2. Build a Feature Engineering Pipeline 3. Train, Evaluate, and Select a Prediction Model 4. Causal Inference: Difference-in-Differences Reference Documentation Statistical Methods: references/statisticalmethodsadvanced.md Experiment Design Frameworks: references/experimentdesignframeworks.md Feature Engineering Patterns: references/featureengineeringpatterns.md Common Commands
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/senior-data-scientist--aa4864