Hello! I'm Tyler, a financial data analytics professional with just over a decade of experience, primarily in the healthcare industry. I'm now transitioning from finance and accounting to focus solely on data science, where I aim to leverage my healthcare domain knowledge to drive data-driven solutions and insights.
- 💼 Professional Background: Extensive experience in healthcare, with a focus on financial model development, dashboard and report building, and data analytics
- 🎓 Education: IBM Data Science Professional Certificate (2024) and B.S. in Finance (2013)
- 🌱 Currently Learning: Linear algebra and more of the theory behind ML to better inform my model development
- 🥅 Career Goals: As I further develop my data science toolbelt, I aim to serve in roles where I can utilize machine learning to improve public health and better understand the hidden social determinants (X) of health (y).
- 🛠️ Tools:
- Languages: SQL, Python
- Data Manipulation/Machine Learning: Pandas, NumPy, Scikit-Learn
- Visualization: Tableau, Matplotlib, Seaborn
- Others: Excel, Cuisinart ice cream maker
- 📫 Connect with me: LinkedIn
Project | Skill Area | Description | Tools |
---|---|---|---|
Health Center Data ELT | ELT, database management, EDA, data querying | Retrieved annual data on community health center performance and operations from HRSA.gov, loaded it into a MySQL database, and performed data wrangling. Conducted EDA to gain high-level insights and wrote detailed queries for specific data extraction and analysis. | SQL (and minimal Python) |
Health Center Dashboards | Data visualization, dashboarding | Built two Tableau dashboards: one to visualize aggregated data at the national level, and a second to visualize data at the individual health center level (with an interactive dropdown, allowing the user to select any one health center). | Tableau |