Data Scientist
I am a data scientist with a passion for transforming complex datasets into actionable insights. Having recently graduated from Carleton College with a Bachelor's Degree in Statistics, I have hands-on experience applying machine learning, data visualization, and statistical methods across diverse industries. During my internships with NASA Goddard Space Flight Center and SK Huffer & Associates, I tackled challenges ranging from soil moisture imputation using supervised machine learning to eDiscovery data analysis for litigation support. My academic and professional journey reflects a commitment to combining technical skills in Python, R, and SQL with innovative problem-solving to drive impactful solutions. Beyond academics, I bring leadership as a former team captain of Carleton's football team and a former member of the Carleton Leadership Council, balancing technical expertise with teamwork and collaboration. Whether developing interactive applications or optimizing workflows, I aim to bridge data and decision-making to create meaningful change.
Skills
Experience
Education
Performing predictive modeling, supervised machine learning, EDA, and time series analysis
Efficiently collecting data through web-scraping and research. Performing data imputation, transformation, and cleaning.
Creating compelling visuals and dashboards to communicate insights effectively to diverse audiences.
Copyright © 2025 Chris Elliott