Patient Services - Impact Measurement & Investment Allocation

Tech Stack: Python, R, PySpark, SQL, Pandas, Scikit-learn, SHAP

• Led a team to analyze client-offered patient services and optimize investment allocation, resulting in cost savings of >$700k
• Implemented Logistic Regression & Latent Growth Curve model to measure the impact of patient services on claim approval and drug adherence over time.
• Conducted demographic analysis to understand variations in service impact across different patient populations.