SAS, SQL, R, data analysis, biostatistics, statistics

YI HU, MS

Chevy Chase, MD

202-***-**** *****@**********.***

Education

Georgetown University, Washington, DC December 2015

Master of Science – Biostatistics (GPA: 3.80/4.00)

Research Practicum: Gender Differences between Health Disparity Measures Regarding Mortality Rates for Young People from 16 Countries of the Americas

BNU-HKBU United International College, Zhuhai, China June 2014

Bachelor of Science – Statistics

Research Project: Data Mining: Handwritten Digits Recognition

Experience

Data Analyst May 2016 – Current

Kaiser Permanente Rockville, MD

Acquire operational data or medical records from secondary data sources; develop and maintain database for internal use

Generate versatile periodic analytical reports that answer various queries and evaluate performance based on different measures for all Kaiser Permanente medical centers in Washington DC, Virginia and Maryland

Automate reports, visualize data and perform complex programming routines by SAS; interpret findings and analysis results

Project Consultant April 2016 – December 2016

Pan American Health Organization/World Health Organization Washington, DC

Projects: Identified Adolescent/Maternal/Child mortality inequalities in between countries in the region of Americas, and how they have changed over the past ten years; predicted the inequalities in the next 15 years

Applied statistical methods to analyze mortality inequalities and their changes by different social groups; implemented linear/non-linear regression/time series models to conduct forecasting and suggested best models

Drafted a scientific article manuscript based on the methodology used and results attained from the literature review and the data analysis

Project Consulting Assistant November 2015 – May 2016

Medstar Georgetown University Hospital Washington, DC

Constructed univariate logistic models to select significant risk factors for developing Multidrug resistant infection in ICU based on 189 cases and 378 controls from Medstar Georgetown University Hospital

Built stepwise multivariate logistic models by selected factors and reported the corresponding odds radios, p-values and c-statistics for ROC curve

Based on odds ratios, suggested possible cutoff by results of sensitivity, specificity and ROC curve; developed a scoring system for prediction of infection degree

Teaching Assistant September 2015 – December 2015

Georgetown University Washington, DC

Assisted the professor, Dr. Anca Dragomir, with teaching and related activities for the “Principles of Epidemiology” graduate-level course

Held weekly office hours to explain epidemiological concepts to graduate students and graded homeworks and tests

Health Information Analyst, Summer Intern June 2015 – August 2015

Pan American Health Organization/World Health Organization Washington, DC

Implemented statistical analysis and data visualization techniques for the trends over time of health indicators, and measured health inequality between different socioeconomic or age groups for each country

Created graphs and tables for a special report on adolescent mortality in the Americas

Research Assistant February 2015 – June 2015

Georgetown University Washington, DC

Used the Lowess smoothing method (with different spans) to smooth curves of raw biological data by proficiently using R

Conducted McNemar's tests for array comparative genomic hybridization (aCGH) data to evaluate the associations between paired chromosomes for 48 cancer patients

Computed adjusted (for multiple testing) p-values using the Benjamini and Hochberg method and interpreted the results

Additional Credentials

Publications

Certifications

Technical Skills

Rajiv Sonti, Megan E. Conroy, Elena M. Welt, Yi Hu, George Luta and Daniel B. Jamieson, Modeling risk for developing drug resistant bacterial infections in an MDR-naive critically ill population. Therapeutic Advances in Infectious Disease. DOI: 10.1177/2049936117715403.

SAS Advanced Programming for SAS 9 Certificate

Microsoft Office Suite, R, SAS, SQL, Tableau, Python, STATA, SPSS, MATLAB

Language

Chinese (Mandarin), English

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