Dan Martin

About Dan Martin

Data scientist with a unique combination of expertise in machine learning, classical statistics, social science, and strategic thinking/communication. I am currently working at the intersection of population health and healthcare strategy, leveraging medical data (claims and EHR) to improve patient outcomes and reduce costs at Boston Medical Center and HealthNet plan. Previously, I spent time building and managing a team of data scientists at McKinsey & Company, focusing on workforce and organizational analytics for clients across a variety of industries. Expertise: Supervised learning (e.g, regularized regression, random forests, boosting), unsupervised learning (e.g, k-means, PAM, PCA, t-SNE), natural language processing, statistical inference, experimental and quasi-experimental design, program evaluation, statistical software and programming languages (R and Python), relational databases (SQL), data cleaning and visualization best practices, HR analytics, healthcare analyticsRefer to my professional website/blog (dpmartin42.github.io) to find examples of projects, publications, and code.

Experience

1. Data Scientist

   Boston Medical Center (BMC)

   Apr 2019 — Present · Boston, MA, US

   Create custom modeling approaches using healthcare claims and EMR data to improve the strategic targeting of patients for a number of care management initiatives across the hospital and healthplan• Conduct program evaluation for these interventions, using experimental and quasi-experimental designs (e.g, propensity scores, matching methods)• Leverage publicly available data sources in addition to an internal survey framework to better support strategies of care for patients with social determinants of health

Education

• University of Virginia

  Ph.D., Quantitative Psychology

  2011 — 2015

• University of Rhode Island

  B.S./B.A., Applied Mathematics and Psychology

  2007 — 2011

Skills

• Mathematical Modeling
• Machine Learning
• R
• Psychology
• Statistics
• Data Mining
• Quantitative Research
• Science
• Research
• Experimental Design
• Spss
• Data Analysis
• Social Psychology
• University Teaching
• Qualitative Research
• Python
• Teaching
• Statistical Modeling
• Research Design
• Multivariate Statistics