About Aaron Brazier
Senior Data Scientist specializing in oil & gas, machine learning model deployment, and full-stack data science solutions.

Professional Background
As a Senior Data Scientist at BP with extensive experience in the oil and gas industry, I specialize in developing and deploying machine learning solutions that enhance operational efficiency and reduce downtime. My work spans the full data science lifecycle—from stakeholder engagement and requirements gathering to model deployment, monitoring, and mentoring junior team members.
My most significant achievement is leading the development of a patent-pending methodology for time series anomaly detection, which represents a novel approach to identifying operational issues before they impact production. This work demonstrates my ability to innovate beyond traditional statistical methods and create practical solutions for complex industrial challenges.
What sets me apart as a data scientist is my full-stack approach—I'm not just focused on the statistical modeling side, but also deeply involved in the entire pipeline from data cleaning and evaluation to cloud deployment and stakeholder communication. This comprehensive perspective allows me to bridge the gap between technical complexity and business value, ensuring that models deliver real-world impact.
Technical Skills
Core Data Science
Machine Learning & Analytics
Cloud & Infrastructure
Databases & Data
Homelab & Automation
Homelab & Personal Projects
My homelab represents a production-grade infrastructure environment that showcases my full-stack approach to data science and automation. I manage nearly 250TB of data across a 3-node Proxmox cluster, featuring two Minisforum MS-01s and a custom EPYC 7502P server with 128GB RAM—designed to become my local AI processing hub for running agent workflows in n8n.
What sets my setup apart is the innovative automation pipeline I've built: Gitea for version control, Renovate for automated dependency updates, Discord bots for deployment management, and Portainer for container orchestration. This creates a seamless CI/CD environment that mirrors professional development workflows, allowing me to approve, merge, and redeploy applications entirely through Discord commands.
The infrastructure includes comprehensive monitoring with Grafana, robust storage solutions using TrueNAS, Unraid, and ZFS, a complete home automation suite with Home Assistant, ZigBee, MQTT, and Z-Wave, and a bulletproof 3-2-1 backup strategy with local and offsite redundancy for critical data.
Certifications
Data Science & Machine Learning
- Intermediate Data Science Bootcamp (Pragmatic Institute) - March 2022
- Beginner Data Science Bootcamp (Pragmatic Institute) - June 2021
- Convolutional Neural Networks in TensorFlow (Coursera) - Dec 2022
- Introduction to TensorFlow for AI, ML, and Deep Learning (Coursera) - Oct 2022
- Machine Learning for All (Coursera) - Jan 2022
- Mathematics for Machine Learning: Linear Algebra (Coursera) - Jan 2022
- Introduction to Data Science in Python (Coursera) - June 2021
- A Crash Course in Data Science (Coursera) - Oct 2020
- Introduction to Data Science (LinkedIn) - Sep 2020
Programming & Development
- Rust Essential Training (LinkedIn) - Jan 2025
- Python Data Structures (Coursera) - June 2021
- Programming for Everybody (Getting Started with Python) (Coursera) - Oct 2020
Professional Certifications
- Project Management Professional (PMP) - March 2017
- LPIC-1: Linux System Administrator
- MCSA: Windows 7
- Oracle Primavera P6 Essential Training (Lynda.com) - July 2018
IT Infrastructure
- CompTIA A+
- CompTIA Network+
- CompTIA Security+
- CompTIA Project+
- CompTIA Linux+