
Loyalty Membership Program
This analysis determined if a loyalty program for customers boosted revenue. Findings were also presented in a Dashboard.
Passionate and impact-driven data analyst with a unique blend of experience in healthcare operations, patient billing, and data analytics. With 9+ years in healthcare and customer service, I specialize in using data to streamline processes, automate workflows, and improve the patient experience.
My background spans both clinical care and backend systems, which gives me a patient-first mindset when solving data problems. Currently, I work at the intersection of patient billing and analytics—automating reports, parsing data from Salesforce into Snowflake, and creating dashboards and insights that help drive informed decisions across departments. I’m well-versed in Python, SQL, Snowflake, Google Sheets, and Excel, and I regularly build ad-hoc reports and scalable solutions to improve team efficiency.
Whether I’m supporting cross-functional teams or managing escalations related to patient billing, I approach my work with curiosity, attention to detail, and a deep commitment to creating better experiences for patients and stakeholders alike.
Outside of work, I’m usually hanging out with my dog, Donut, trying new food spots, or getting in a good workout.
💡Notable Impacts💡:
• Billing Analytics Automation: Streamlined reporting by automating data pipelines using Python and Snowflake, reducing manual work and boosting accuracy.
• Cross-Team Collaboration: Partnered with vendor ops, call centers, and internal stakeholders to enhance billing workflows and improve patient communication.
• Departmental Expansion Success: Strategically spearheaded the establishment and growth of the neurology and cardiology department, leveraging expertise in program development, resource allocation, and interdisciplinary collaboration to achieve exceptional outcomes.
This analysis determined if a loyalty program for customers boosted revenue. Findings were also presented in a Dashboard.
This analysis studied food products in an app and used A/A/B testing to determine whether or not to change the font type on the webpage.
This project analyzed gym members behavior and predicted the probability of churn using machine learning.
This project prioritizes hypothesis then compares revenue, purchase size, and conversion rates for both testing groups.
This project contains a business and cohort analysis for Yandex.Afisha using Python.
This project contains an analysis from a rideshare company using SQL and Python.
View all of my Tableau Public Vizzes which include my YouTube Trending Videos dashboard and Loyalty Membership Program dashboard.