Ricardo J. Fennell
Data Scientist, Digital health
Boston, MA · (617) 555 0114 · name@example.com · linkedin.com/in/ricardojfennell
Key Qualifications
EXPERIENCE
Eight years in health care and life sciences data science
INDUSTRIES
Digital health, hospital analytics, pharmaceutical commercial teams
SPECIALTIES
Risk prediction, survival analysis, feature engineering, model validation
SYSTEMS
Python, Databricks, Snowflake, Amazon Web Services, Amazon SageMaker, Tableau
CREDENTIALS
Databricks Certified Machine Learning Professional
EDUCATION
Master of Science in biostatistics, Boston University
Executive Summary
Data scientist working on patient outcomes and commercial analytics for a digital health company. Eight years modeling clinical and claims data under the Health Insurance Portability and Accountability Act. Builds models clinicians will actually use, which means explaining every feature before anyone signs off on a deployment.
Signature Achievements
- Built a readmission risk model that reached an area under the curve of zero point eight one on held out data.
- Cut avoidable thirty day readmissions at four partner hospitals by nine percent over a year of use.
- Replaced a vendor scoring product and saved two hundred forty thousand dollars in annual licensing.
- Reduced model training time from eleven hours to forty minutes by moving the pipeline onto Databricks.
- Wrote the validation package that carried three models through clinical review without rework.
- Found a claims coding error worth one point one million dollars while profiling data for a new feature set.
Professional Experience
Data Scientist
Charles River Care Analytics, Boston, MA 2021 to present
Clinical modeling team of six inside a digital health company serving thirty hospital clients.
- Develop risk and utilization models in Python on claims and electronic health record data.
- Design retrospective validation studies with the clinical team before any model reaches production.
- Monitor deployed models monthly for drift and report performance to the medical director.
- Document data handling for every project so protected health information stays inside approved environments.
Biostatistician
Merrimack Clinical Research Partners, Woburn, MA 2018 to 2021
Statistical support for phase two and phase three oncology studies at a research organization.
- Wrote analysis plans and produced the tables that supported study reports.
- Coded survival and safety analysis output and checked every result against a second statistician.
- Presented interim results to sponsor teams and answered questions on statistical assumptions.
Licensure and Certification
Databricks Certified Machine Learning Professional
Member, American Statistical Association
Education
Master of Science in biostatistics, Boston University, 2018
Bachelor of Science in mathematics, University of Massachusetts Amherst, 2016
Core Skills
Python · Survival analysis · Risk prediction · Feature engineering · Model validation · Databricks · Snowflake · Structured query language · Clinical data · Technical communication