Jackson Guthrie
Data Scientist | Quantitative Finance | Machine Learning | Python & R
- Role
- Data Science Associate at Fannie Mae
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Jackson Guthrie
I\'m a data scientist with a strong background in financial services, passionate about using data to solve complex business problems. My experience spans the entire data science lifecycle, from optimizing analytical workflows and developing predictive machine learning models to mentoring new data scientists. My core expertise lies in extracting business insights from vast, unstructured datasets. I specialize in building and optimizing large-scale data processing workflows with tools like PySpark, significantly improving computational efficiency and model accuracy. My work in predictive modeling and ad-hoc analysis has directly informed and resulted in changes to critical business decisions. I am proficient in R (Tidyverse, Shiny) and Python (Pandas, Numpy, Scikit-Learn), as well as SQL. I am also passionate about mentorship and enjoy teaching technical concepts to new data scientists in my organization. I am currently pursuing a Master of Science in Analytics from the Georgia Institute of Technology and hold a Bachelor of Science in Quantitative Finance and Mathematics from James Madison University. I\'m always open to connecting with fellow professionals in the data science and quantitative finance communities. On the weekends you\'ll find me trying a new recipe and wrenching on old cars!
Experience
Data Science Associate
Sep 2023 — Present · Washington, DC, US
Education
Georgia Institute of Technology
Master of Science - MS, Analytics
James Madison University
Bachelor of Science - BS, Quantitative Finance, Mathematics
2017 — 2021
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