I am a recent graduate from the UBC Master of Data Science program with a background in computational physics and mathematics. My multidisciplinary background has strengthened my ability to tackle complex problems from differnt angles. With a strong foundation data analysis and data science, I excel at breaking down challenging issues and developing data-driven solutions.

Education: Master of Data Science, University of British Columbia (UBC)

Interests: Data-driven decision making, data analysis, machine learning, and data visualization.

Goals: I am currently looking for work and eager to contribute to innovative projects where I can apply my data science expertise.

🧐 Data Analysis: analyzing complex datasets to uncover insights and trends.

🤖 Machine Learning: building and deploying machine learning models to solve real-world problems.

🎨 Data Visualization: creating compelling visualizations to communicate data-driven stories effectively.

Here are some notable projects I’ve worked on (check out my profile to see some more!):

SRK Consulting, Benchmarking Tailings Facilities Risk:

• Developed interpretable machine learning and statistical models to evaluate risk in tailings storage facilities (TSF).
• Capstone project in collaboration with SRK Consulting and a team UBC classmates.

StFX University Physics Department, An Analysis of the Hydrogen Bond Network in Simulations of Supercooled Water:

• Used Python and data analysis skills to examine the hydrogen bond network in models of supercooled water.
• Advanved Major research project in computational physics.

UBC Master of Data Science Course Projects:

• Co-created a dashboard for visualizing the gender disparity in leadership positions in Canada - https://github.com/UBC-MDS/DSCI-532_2024_13_Juno
• Created a Shiny app to filter and visualize surf locations in California - https://github.com/scout-mckee/california_surf_dashboard
• Co-created a Python package to perform exploratory data analysis - https://github.com/UBC-MDS/datexplore
• Co-developed a machine learning project to predict diabetes - https://github.com/UBC-MDS/diabetes_classification_model

Feel free to reach out to me via LinkedIn or email. I’m always open to connecting with fellow data enthusiasts and potential collaborators.

Email: scoutmckee01@gmail.com

Linkedin: www.linkedin.com/in/scout-mckee