Pfizer

Associate Statistical Data Scientist

• Created and validated Study Tabulations (SDTM) and Analysis datasets (ADaM) according to CDISC standards.
• Created publication-ready tables and listings using SAS and CDISC Data Analysis & Reporting System (CDARS) within a UNIX environment. 
• Developed an RNA Yield & Quality Visualization R Shiny app to compare samples and tested for differences between samples.

Statistical Programming & Analysis Intern

Boston University

Statistical Bootcamp Teaching Assistant

• Spearheaded data mapping project to implement a relational database system in Snowflake to store alumni/faculty outcomes data collected over the last 5 years
• Utilized Python to consolidate datasets from multiple departments and created data visualizations to present to multiple levels of management.
• Integrated alumni/faculty outcomes data into compelling PowerBI dashboards to expand employer partnerships, empower faculty, and engage prospective students.

Data Analyst/Research Assistant

The University of Texas at Arlington

• Implemented R/Python to run hypothesis testing/regression models to determine factors that predict a student successfully graduating within 4 years. Improved the model’s predictive ability to 91% accuracy by performing traditional and machine learning classification methods.
•Identified and delivered innovative and customized solutions that support the university’s decision-making process to multiple levels of the university’s management.

Data Analytics and Machine Learning Intern

• Designed and conducted experiments for novel FLASH radiation therapy to treat esophageal cancer
• Implemented Python scripts to automatically synchronize data between different storage servers
• Employed R Shiny to explore and visualize cell line responses to radiation therapy

Quantitative Oncology Research Assistant

Statistical Data Sciences & Analytics | Statistical Data Scientist | Pfizer

Dynamic Statistical Data Scientist with a passion for transforming complex data into actionable insights that drive meaningful business outcomes. Leveraging expertise in programming languages such as Python, R, SAS, SQL, and UNIX/LINUX, I excel at collaborating with cross-functional teams to deliver high-quality results under tight deadlines.

Technical Competencies:
• Programming: SAS, R, Python, SQL, MATLAB
• Databases: MySQL, Microsoft Access, SnowFlake
• Data visualization and Analytics: Shiny, Dash, Tableau, Power BI, Excel
• Big Data and Data Science: AWS, Google Cloud, Hypothesis testing, Regression, Classification, Experimental design, Time series forecasting, A/B testing, Dimension Reduction, Power analysis, NLP

Taplio

Jenny Nguyen's Linkedin Analytics

Jenny Nguyen

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Jenny Nguyen's Linkedin Analytics

Jenny Nguyen

Want to drive more opportunities from LinkedIn?

Jenny Nguyen's Linkedin Analytics