About Me
I'm a passionate data scientist specializing in sustainability at the University of Michigan. Planning on graduating in May 2027 with an MS in Data Science, I want to combine data and machine learning with expertise in climate science to drive meaningful environmental impact and help companies reduce their carbon footprint.
My experience spans data engineering, machine learning, and sustainability analytics across various industries including construction, healthcare, and aviation. I'm particularly interested in leveraging AI and data science to solve complex environmental challenges.
Skills
Languages
Technologies
Frameworks
Experience
Data Engineering Intern
Clear Estimates
Built distributed price scraping and data engineering systems for construction cost estimation.
Data Science Intern
RemodelingCosts.com
Implemented GenAI and query classification for AI-driven estimate generation and lead optimization.
ML Software Intern
Delta Airlines
Engineered and trained ML models for flight delay and connection success prediction.
Data Scientist
University of Michigan - Office of Campus Sustainability
Automated GHG emissions classification and data extraction for sustainability reporting.
Founding Data Engineer
Integrate Health
Provisioned HIPAA-compliant infrastructure and engineered risk modeling pipelines for healthcare.
Featured Projects
MapReduce Simulator & Search Engine
Simulated distributed MapReduce system using TCP/UDP, fault tolerance, parallelization, and heartbeat tracking.