Healthcare Data Engineering
name | role | domain | tools -------------+--------------------+-----------------------------------+---------------------- Zaher Karp | Lead Data Engineer | Healthcare Payer / Regulated Data | SQL, Python, dbt, AWS (1 row)
I build healthcare data systems that connect quality measurement, revenue, and operations. My work spans Medicare Star Ratings, HEDIS measure pipelines, ACO/MSSP analytics, and clinical data integration across Epic, claims, and eligibility sources. I focus on scalable data engineering -- dbt models, SQL pipelines, cloud infrastructure -- designed to integrate into real clinical and payer workflows. I'm always open to conversations about analytics that ship as products, not reports.
Years Experience
Organizations
Blog Posts
Technical Skills
Publications
Presentations
Technical documentation and literature review supporting the ordinal logistic regression model used in the interactive Medicare Star Rating predictor on this site.
ECDS adoption is not just a data modernization effort. It introduces measurable distribution risk into the Stars ecosystem.
Concurrency sounds like “do more at once.” In real data systems it’s mostly coordination under constraint, and in healthcare analytics the constraints include trust, auditability, and deadlines.
How version control and pull requests transformed healthcare analytics from chaotic file management into transparent, collaborative systems that save lives.
Logistic regression running entirely in your browser. Adjust healthcare quality inputs to see predicted Medicare Star Rating.
Illustrative model with synthetic weights. Not trained on real CMS data.
Standalone, in-browser dashboard implemented as a single HTML file using Chart.js 4.4.1, PapaParse 5.4.1, jsPDF 2.5.1, and chartjs-plugin-datalabels to visualize local CSV data and generate PDF reports with no server dependency and no data leaving the user's machine.
Production-minded MVP web application built with FastAPI, PostgreSQL, and Redis/Celery that leverages O*NET occupation and skill data plus baseline deterministic matching and logistic-regression calibration to generate Ready Now, Trainable, and Long-Term Reskill job transition recommendations with skill gap analysis, training path suggestions, and a feedback-driven learning system.
Analytics used in case study at OCHIN, Inc. examining healthfinch's Charlie Practice Automation Platform implementation across multiple community health centers. Focus on workflow optimization and return on investment achieved through data-driven decision making.
Redesigned primary care patient survey for UW Health Patient Relations/Resources department. Conducted pretesting with patient interviews to ensure survey validity and usability improvements.
Analyzed organization-wide care delivery changes using interrupted time series analysis on clinic panel data. Measured impact of change initiatives with segmentation and regression modeling.
Conducted research studying cancer prevention screening rates in patients with co-morbid severe mental illness using logistic regression and the Elixhauser Comorbidity Index.
Pilot experimental curriculum trial evaluating approaches to broadening medical students' exposure to the range of illness experiences, with a focus on depression education.
Led comprehensive mixed-methods study on how environmental design influences team interactions in family medicine clinics. Secured $18,000 grant, conducted 120 hours of observations, facilitated 9 focus groups with 40 participants.
Analysis of cost patterns and savings achievement across Medicare Shared Savings Program ACOs, finding that higher-baseline-cost organizations were more likely to achieve shared savings.
Methodological contribution on gathering diverse community opinions to inform health system interventions, presented at a national implementation science conference.
Qualitative study examining how primary care teams use and optimize EHR systems, identifying key barriers and facilitators to effective adoption.
Conference proceedings presenting preliminary findings on EHR optimization challenges in primary care settings.
16 talks across conferences, seminars, and meetups
Regression work from UW Madison biostatistics/SAS coursework
MVP web application that uses O*NET occupation skill data to help users discover job transition opportunities based on current skills and experiences
A deterministic, script-driven tool for building an Obsidian media library from a markdown list. Parses, normalizes, deduplicates, and enriches media entries with Wikidata metadata.
Baltimore Health Analytics
Sustainable Clarity
Health Catalyst
healthfinch
healthfinch
University of Wisconsin-Madison, Department of Family Medicine and Community Health
University of Wisconsin-Madison
University of Wisconsin-Madison
University of Wisconsin-Madison