Rhys Burman
Data Scientist & Sustainability Expert
Ann Arbor, MI
brhys@umich.edu
About Me

I'm a passionate data scientist specializing in sustainability and environmental analytics at the University of Michigan. With over 6 years of experience, I combine advanced machine learning techniques with domain expertise in climate science to drive meaningful environmental impact.

My work focuses on developing predictive models for carbon emissions, building automated data pipelines for climate research, and creating interactive visualizations that help organizations make data-driven sustainability decisions.

When I'm not analyzing data, you can find me hiking Michigan's trails, contributing to open-source climate projects, or experimenting with new visualization techniques to make complex environmental data more accessible.

Skills & Expertise

Programming
Python
R
SQL
JavaScript
TypeScript
Data Science
Machine Learning
Deep Learning
Statistical Analysis
Data Visualization
Tools & Frameworks
TensorFlow
PyTorch
Pandas
Scikit-learn
React
Next.js
Cloud & Databases
AWS
Google Cloud
PostgreSQL
MongoDB
Docker
Sustainability
Carbon Accounting
LCA
ESG Reporting
Climate Data Analysis

Experience

Senior Data Scientist
University of Michigan
2022 - Present
Ann Arbor, MI

Leading sustainability data initiatives and developing machine learning models for climate research.

  • Developed predictive models for carbon emission forecasting
  • Built automated data pipelines processing 10TB+ of climate data
  • Published 5 peer-reviewed papers on sustainability analytics
Data Scientist
Environmental Analytics Corp
2020 - 2022
Detroit, MI

Specialized in environmental data analysis and sustainability reporting for Fortune 500 companies.

  • Created ML models reducing energy consumption by 15%
  • Designed interactive dashboards for ESG reporting
  • Led cross-functional team of 8 data professionals
Research Analyst
Climate Solutions Institute
2018 - 2020
Chicago, IL

Conducted research on climate change impacts using statistical modeling and data visualization.

  • Analyzed climate datasets spanning 50+ years
  • Developed visualization tools for policy makers
  • Contributed to IPCC climate assessment reports
Junior Data Analyst
GreenTech Startup
2017 - 2018
Ann Arbor, MI

Entry-level position focusing on renewable energy data analysis and market research.

  • Built automated reporting systems
  • Performed market analysis for solar energy adoption
  • Created data collection protocols

Featured Projects

Sustainability Dashboard
Real-time carbon footprint tracking platform for enterprises with predictive analytics and automated reporting.

Technologies:

React
Python
FastAPI
PostgreSQL
AWS

Key Highlights:

  • Processes 1M+ data points daily
  • Reduces reporting time by 80%
  • Used by 50+ organizations
ML Price Predictor
Machine learning model for construction cost estimation using historical data and market trends.

Technologies:

Python
TensorFlow
Pandas
Docker
GCP

Key Highlights:

  • 95% accuracy in cost predictions
  • Saves $2M+ in project planning
  • Deployed across 20+ construction sites
Climate Data Pipeline
Automated ETL pipeline for processing and analyzing global climate datasets from multiple sources.

Technologies:

Python
Apache Airflow
MongoDB
Kubernetes

Key Highlights:

  • Processes 100GB+ data daily
  • 99.9% uptime reliability
  • Supports 15+ research projects
3D Portfolio Website
Interactive 3D portfolio experience built with React Three Fiber showcasing projects and skills.

Technologies:

React
Three.js
Next.js
TypeScript
Tailwind

Key Highlights:

  • Immersive 3D navigation
  • Mobile-responsive design
  • Particle system animations
Let's Connect

Interested in collaborating on sustainability projects or discussing data science opportunities?