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 deployment.• 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 standardize payers and increase data accuracy.• 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 product.• 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 of business needs and use cases.• 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.• Leveraged Azure DevOps for version control and collaboration when building analytical tables.• Utilized ChatGPT as a LLM tool for coding and debugging assistance.

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