Kevin Xu
Pittsburgh,PA
Summary
I am a Master's student in Statistics with a focus and proficiency in statistical programming, machine learning, and regression analysis. I am passionate about exploring the applications of these skills in other areas of interests of mine such as biology, public health, pharmacology, and neuroscience.
In my role as a Teaching Assistant for an introductory R programming course, I am committed to guiding students, fostering their development in statistical programming and the stats field as a whole. My approachable nature and strong teamwork abilities enable me to contribute positively in both educational and collaborative project environments.
Overview
2
2
years of professional experience
Work History
Graduate Teaching Assistant
University of Pittsburgh
East Pittsburgh, PA
08.2023 - Current
- Recitation leader for STAT 1261 (Principles of Data Science), an undergraduate introductory course to R (programming language) based on Hadley Wickham's text R for Data Science.
- Graded student assignments and exams, providing feedback on their performance.
- Organized and distributed multimedia materials such as presentations, videos, and podcasts to supplement classroom instruction.
- Scheduled and maintained regular office hours to meet with students.
Data Jam Mentor
Pittsburgh DataWorks
Pittsburgh, PA
01.2022 - 08.2023
- Provided guidance for high school teams with how to visualize data, analyze data and interpret the findings of data analyses for an annual data science competition
- Collaborated with high school teachers to design an approachable introduction to working with big data
- Focused on working with data to serve diverse and underrepresented communities.
Statistical Programming Intern
Pfizer
New York City, NY
06.2023 - 08.2023
- Big Data Processing and Analysis: Leveraged cloud computing through Snowflake to handle and efficiently analyze datasets
- Employed SQL queries to interface with Snowflake, extracting insights and generating reports of findings
- Workflow Optimization: Assisted in developing an R package
- Designed and implemented modular functions in R, standardizing data processing workflows
- This approach enhanced overall efficiency by reducing redundancy and ensuring consistent results across tasks
- Automated Process Development: Engineered an R Shiny App to automate critical data processing tasks
- The app's reactive user interface streamlined user interaction, improving team productivity, and reducing manual efforts.
Education
Master of Arts - Statistics
University of Pittsburgh
Pittsburgh, PA12.2024
Bachelor of Science (B.S.) Statistics -
UNIVERSITY OF PITTSBURGH
04.2023
Skills
- R (Programming Language)
- Experience with SQL and SAS
- Survival/Time-to-Event Analysis
- Multivariate Regression Analysis
- Supervised/Unsupervised Learning
- Probability Theory
- Conversational Mandarin
Relevant Coursework
- Statistical Learning and Data Science
- Statistical Computing
- Statistical Evaluation of Biomarkers and Classification Tools
- Survival Analysis
References
References available upon request.
Timeline
Graduate Teaching Assistant
University of Pittsburgh
08.2023 - Current
Statistical Programming Intern
Pfizer
06.2023 - 08.2023
Data Jam Mentor
Pittsburgh DataWorks
01.2022 - 08.2023
Master of Arts - Statistics
University of Pittsburgh
Bachelor of Science (B.S.) Statistics -
UNIVERSITY OF PITTSBURGH
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