Summary
Overview
Work History
Education
Skills
Research Projects
Timeline
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Zhenning Liu

Zhenning Liu

Washington,DC

Summary

Versatile Master’s student in Biostatistics with strong skills in data analysis, statistical modeling, and research. Proficient in Python, R, SAS, and SQL, with experience in predictive modeling and machine learning. Effective team player with proven ability to work in English-speaking environments.

Overview

2
2
years of professional experience

Work History

Data Analysis Assistant

Shanghai Pudong Development Bank
Guangzhou, Guangdong
06.2022 - 07.2022
  • Used R and Python for data cleaning, processing, and visualization to support risk assessment; achieved AUC of 0.83

Intern Analyst in Technology Department

Sinopec Engineering Co., Ltd.
Guangzhou, Guangdong
12.2021 - 02.2022
  • Analyzed engineering project data using R and SPSS, reduced project cycle by 17%

Data Analysis Assistant

PricewaterhouseCoopers
Guangzhou, Guangdong
06.2020 - 09.2021
  • Used Python for data scraping and regression analysis; reduced predicted risk exposure by 31%

Education

Master of Biostatistics -

Georgetown University
Washington, DC
12.2024

Bachelor of Science (Honours) in Statistics -

Beijing Normal University-Hong Kong Baptist University United International College
Zhuhai
06.2023

Skills

  • Statistical Software: Python, R, SAS, SPSS
  • Data Analysis: Survival Analysis, Multiple Regression Analysis, Machine Learning, Random Forest
  • Study Design: Clinical Trial Design, Observational Study, Meta-Analysis

Research Projects

April 2024

Exploring the Impact of Age and Gender on Melanoma Death
Georgetown University

  • Responsibilities: Managed missing data, cleaned datasets, and used Kaplan-Meier and Cox models to analyze survival rates.
  • Results: Gender significantly affects survival, with females having a death risk 1.8 times higher than males; age was not significant.
  • Tools: SAS, R

February 2024

Application of Logistic Regression and Random Forest in Heart Disease Prediction
Georgetown University,

  • Responsibilities: Performed data cleaning and model development using Python; optimized logistic regression and random forest models.
  • Results: Logistic regression model achieved 82.3% accuracy; random forest model reached 84.2% accuracy.
  • Tools: Python

December 2023

Association of Alcohol Consumption and Cardiovascular Diseases: Systematic Review and Meta-Analysis
Georgetown University

  • Responsibilities: Developed literature search strategy, screened and evaluated studies, and conducted meta-analysis using R.
  • Results: Identified a significant negative association between alcohol consumption and cardiovascular diseases, with a combined relative risk of 0.71 (95% CI [0.66, 0.77]).
  • Tools: R

Timeline

Data Analysis Assistant

Shanghai Pudong Development Bank
06.2022 - 07.2022

Intern Analyst in Technology Department

Sinopec Engineering Co., Ltd.
12.2021 - 02.2022

Data Analysis Assistant

PricewaterhouseCoopers
06.2020 - 09.2021

Master of Biostatistics -

Georgetown University

Bachelor of Science (Honours) in Statistics -

Beijing Normal University-Hong Kong Baptist University United International College
Zhenning Liu