Welcome to my data science portfolio! I am Alysen Casaccio, a Senior Clinical Consultant at Optum Insight. I excel in bridging the gap between end users and technical development teams, specializing in quality, population health, and operational excellence. With a robust background in healthcare project management and data analytics, I am dedicated to driving innovative solutions and enhancing healthcare outcomes.
With over 17 years of experience in healthcare, I have a proven track record of leveraging data to drive transformative initiatives and improve client engagement. Previously serving as Vice President of Client Services at Mingle Health, I led projects that significantly boosted service margins and client satisfaction. My expertise spans from quality improvement and performance reporting to advanced analytics and machine learning.
I hold a Master’s Degree in Data Science, where I focused on data visualization, machine learning, and predictive analytics. My passion lies in solving complex problems with data and empowering healthcare organizations through actionable insights.
This repository showcases my work and projects across various domains of data science and analytics. Below is the structure and content of my portfolio:
- Basic Scripts: Fundamental programming scripts showcasing basic coding skills in Python.
- Intro Projects: Introductory projects demonstrating foundational concepts and problem-solving techniques.
- Statistics in R: Projects focused on statistical analysis using R, including descriptive and inferential statistics.
- Statistics in Python: Python-based statistical analysis projects covering various statistical methods.
- Data Visualization:
- Data Viz in R: Data visualization techniques using R.
- Data Viz in Python: Python-based data visualizations with libraries like Matplotlib and Seaborn.
- Data Viz in Power BI: Visualizations and dashboards created using Power BI.
- Machine Learning Projects: End-to-end machine learning projects, including regression, classification, clustering, and deep learning.
- Data Visualization Projects: Projects utilizing data visualization charts and graphs to support data-driven decision-making.
- Applied Data Science Projects: Real-world data science projects applying advanced analytics, predictive modeling, and data-driven decision-making.
Feel free to explore the projects and reach out if you have any questions or would like to discuss my work. You can contact me via LinkedIn or through my email.
Thank you for visiting my portfolio!