Detail-oriented coder with expertise in statistical analysis, machine learning, and Python programming. Demonstrated ability to collect and analyze air quality data, contributing to impactful environmental research.
Overview
2024
2024
years of professional experience
Work History
Student Researcher
Coder
National Talent Program
09.2022 - 11.2023
Collected air quality data via Python
Analyzed correlation between winter air pollution and central-heating coal burning via machine-learning
Developed and maintained coding standards to enhance software quality.
Participated in code reviews to ensure adherence to best practices.
Education
Bachelor of Science - Computer Science & Mathematics