Ly Thi-Hai Tran

Ly Thi-Hai Tran

Analytic Engineering @Health Catalyst

Oklahoma City, OK, US
EMAILS
l••••••@healthcatalyst.com
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2023 — Present

Analytic Engineering @Health Catalyst

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Leverage HC software and technologies to guide and perform varied analyses to support client outcomes improvement initiatives across clinical, operational, and financial domains. • Design data models and visualizations that meet project requirements and comply with HC design standards and principles. • Manage technical client projects by providing technical oversight; ensure assigned projects are executed efficiently and according to project requirements and timelines.• Guide data validation tests to ensure quality of measurement. • Work with client data architects to train and mentor on HC tools and methodologies.

EDUCATION

2003 — 2009

Pham Ngoc Thach University of Medicine

Doctor of Medicine (M.D.)

2011 — 2014

UTHealth Houston

Doctor of Philosophy (PhD), Epidemiology (Major), Biostatistic (Minor), Health Behavior (Minor)

ABOUT LY THI-HAI TRAN

I am a person who are very eager for learning and knowing so I\'ve gone from field to field in the past: medicine, epidemiology, biostatistics, and health behaviors. I pride myself as a distinguished epidemiologist with educated medical background. I am enthusiastic about doing clinical studies. I have 10 years\' experience of planning, implementing, and managing of clinical studies. I’m an expert on study coordination, data analyses, and data reporting.I am competent biostatistician with quantitative and qualitative data analysis experience. Experienced on analyzing variety of study designs including complex survey, cross-sectional, case-control, and cohort studies. I have experienced on analyzing linear regression, logistic regression, Poisson regression, longitudinal data analyses, generalized linear multilevel analysis, Kaplan-Meier survival analysis, and Cox regression, PCA, SOM, t-SNE, K-mean clustering, hierarchical clustering, PAM, DBSCAN, OPTICS, decision tree, random forest, GBM XG boost, SVM using R, STATA, SPSS, and SAS.

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