Skills
Teamwork: communication, empathetic listening, holding space, asking questions
Domains of knowledge/interest: energy technologies, artificial photosynthesis and carbon capture, air quality, wearables for exercise science
Coding Languages: Python, SQL
Data Visualization: Plotly/Dash, Tableau
Data Analysis: Pandas, Scikit-learn
Coding tools: git/GitHub, Visual Studio Code, Spyder, Jupyter Notebook
About
Recently graduated CS / Data Science engineer (4.0 GPA, CTU, Oct 2025) with a prior undergraduate degree in Chemistry & Physics from Quest University, including original research on artificial photosynthesis and carbon capture. Real-world data science internship at the CSU Energy Institute building an automated QA/QC pipeline for air quality sensor data from individual monitoring devices.
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