Kendall Frimodig

Primary analytical resource for multiple clinical research studies, writing Epic Clarity SQL and Python pipelines to turn clinical criteria into analysis-ready datasets. Designed and automated a weekly recruitment and reporting system for GoMOMS, and maintained a Python ETL application for a multistate COVID-19 study.

Tutored college-level SAS, R and Python programming.

Linked permit and lab records from separate systems, geocoded with accuracy checks, tested classifiers and a published risk model, and ranked 1,660 unsampled wells for outreach.

Wrote an R program to standardize hand-entered addresses in inpatient and ED records, improving geocoding match rates, and matched records against the state address master database to flag duplicates and out-of-state residents. Corrected public-facing biomonitoring estimates by debugging filtering logic in legacy R programs.

Built 10-year master files for death, birth, hospitalization and BRFSS data, reconciling formats and variable names across years, with ICD-10 condition flags and age adjustment as reusable SAS macros. Searched ED triage notes with regex to estimate non-fatal overdoses and analyzed multiple-cause ICD codes on death records.

Completed a 480-hour Data Science Immersive program covering Python, machine learning, NLP, time series, Tableau, and cloud computing.

Master of Public Health in Epidemiology from Grand Valley State University, covering research methods, applied statistics, quantitative research, and SAS programming.

Bachelor of Science in Biomedical Sciences with a minor in Chemistry from Grand Valley State University.