Brooke Deeter Email & Phone Number

Remote

Sewickley, Pennsylvania, United States

• Developed a LightGBM machine learning model on claims data to predict a patient’s insurance type, utilizing Python NLP methods to extract valuable information from textual data and MLFlow for model management and.
• Developed and maintained an Azure Databricks workflow in SQL that transforms large volumes of insurance data into an analytical table that classifies patient insurance types.
• Led the development of a comprehensive insurance database using PySpark and SQL to establish official insurance payer names from external data and fuzzy map raw payer names across claims and clinical data, aiming to.
• Designed and presented ROI reports in Tableau and Power BI showcasing a patients’ time to treatment and treatment duration, providing stakeholders with intuitive visuals and key insights on the effectiveness of our.
• Mentored a team member on our patient insurance classification process to ensure a seamless handoff of project ownership, consisting of one-on-one training of technical code along with facilitating a deep understanding.
• Conducted regular code reviews to ensure the quality and adherence to coding standards of colleagues’ code, utilizing Jira for efficient tracking and resolution of identified issues.

Pittsburgh, Pennsylvania, United States

• Designed and implemented a production monitoring dashboard that integrates multiple data sources to provide a visual overview of data load health within the Ariba Network.
• Analyzed raw transactional data to track historic spend on the Ariba Network to predict future spend.
• Involved in maintaining product usage metric repository to provide key performing indicators on how customers are using SAP Ariba products.
• Created procurement data models based on stakeholder requirements using SAP HANA.

Greater Pittsburgh Area

• Worked on credit card acquisition analytics team performing profit and loss analyses of various credit card offers using Microsoft Excel and SAS.
• Contributed to internal fraud detection project by building anomaly detection programs in Python.

Oil City, PA

• Performed comparative analysis of collected data using Microsoft Excel and PennDOT Database.
• Worked in teams to inspect highway lighting, drainage, shoulders, and guide rail for maintenance.

Master Of Science - Ms, Data Analytics

Bachelor Of Science - Bs, Statistics And Predictive Analytics

Activities and Societies: Club Softball, Actuarial Science Club, Student Alliance For Equality (S.A.F.E.), Creativity Club