About
Hi! I'm Hayden, a Data Scientist with a passion for transforming raw data into actionable insights that drive impact. My journey into data science began with a deep curiosity about the power of data to solve real-world problems.
My main focus has been statistical analysis for research projects at HCA. I enjoy helping doctors turn their ideas into an actionable and executable analysis plans; with several projects presented as posters at research conferences and being submitted into journals for publication.
I’m always looking to expand my expertise. I am currently studying areas Machine Learning, Aritifical Intelligence, Deep Learning, and Advanced Statistical Analysis. I'm looking to push the boundaries of what data can do.
When I’m not at the computer, I’m usually reading, playing chess, hanging out with friends, or grinding ranked in Overwatch, Apex Legends, or Marvel Rivals.
Experience
-
2022 — Present Collected, processed, and analyzed clinical research questions into actionable and publishable insights for HCA GME.
Applied expertise in data modeling, presenting actionable intelligence through data visualization, analysis reports, and presentations, ensuring effective communication of complex results.-
SAS
-
Python
-
R
-
SQL
-
BigQuery
-
-
2020 — 2020 Worked with the data insight team to extract internal company data and created Power BI reports to display insights. Built an advanced time series model to predict company revenue, controlling for seasonality.
-
Python
-
SQL
-
Power BI
-
DAX
-
Projects
-
Artificially Intelligent Tic-Tac-Toe
Implementations of Neural Network-based AI (Q-Learning), Reinforcement Learning (DQN), and the Minimax Algorithm for playing Tic-Tac-Toe.
-
Python
-
Pandas
-
Tensorflow
-
-
Seasonally Adjusted ARIMA Revenue Forecasting Model
Developed a seasonally adjusted ARIMA model to predict the next years revenue for an accounting firm. Visualized predicted revenue that partners used to plan for the next tax season.
-
Python
-
SQL
-
Pandas
-
Statsmodels
-