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causal inferencescikit-learnPostgreSQL/RedshiftStan/brmsAI systemsexperimental designAnsibleAWStidyversePyMCPythonAirflowmachine learningBayesian statisticsTerraformSQLeconometricsR

Description

This profile is for an individual located in Brighton, MI, USA, who is open to remote work and willing to relocate. They possess expert-level proficiency in R, Python, and SQL, and have extensive experience with advanced statistical methods including Bayesian statistics, econometrics, causal inference, and experimental design. Their technical stack also includes machine learning, AI systems, Stan/brms, PyMC, scikit-learn, tidyverse, PostgreSQL/Redshift, AWS, Airflow, Ansible, and Terraform, indicating strong capabilities in data science, MLOps, and cloud infrastructure.