Zhengxiao Sun
Guelph,ON
Summary
Data Scientist with a strong foundation in mathematical modeling, data analysis, and database management, complemented by experience in sentiment analysis and AI model optimization. Proficient in R, SQL, and Python, with a track record of leveraging data to drive actionable insights and improve decision-making processes. Known for exceptional communication skills and the ability to bridge technical and non-technical stakeholders, fostering collaboration across diverse teams. Passionate about contributing to innovative data-driven solutions and advancing your organization’s strategic objectives.
Overview
4
4
years of professional experience
Work History
Data Scientist Intern
Baidu
05.2023 - 08.2023
- Designed and optimized complex SQL queries to retrieve accurate data from community datasets, improving 15% accuracy of Baidu’s large language model by identifying and analyzing discrepancies between human and AI-generated queries.
- Collaborated closely with cross-functional teams, including data scientists and engineers, to refine model performance, driving enhancements that better align AI outputs with real-world community management needs.
- Authored key technical section of user manual for flagship product, effectively differentiating its competitive advantages and deployment options, contributing to successful client engagement and product adoption.
American Statistical Association (ASA) DataFest
On campus
03.2022 - 04.2022
- Conducted comprehensive analysis of data derived from video game that simulates teenage life choices, assessing over 10,000 unique player interactions to model behavior and extract health-related insights
- Utilized R and R Studio to develop advanced visualizations, including line charts and statistical analyses, based on dataset of 5,000+ data points, identifying distinct patterns and trends in player behavior
- Presented findings to group of field experts, delivering evidence-based conclusions on player behavior and recommending strategies to encourage healthier life choices among teenagers
Deloitte Data Analytics Challenge
Remote
01.2020 - 02.2020
- Implemented in Python to extract box office revenue of Joker's North America market and visualized data by using statistical methods like QQ plot (Quantile-Quantile Plot)
- Designed experiment to indicate impact of different factors such as length and ratings of one film by applying statistic methods
- Proactively communicated with each team member to ensure consistent project progress and reminded team of key task deadlines
Education
Master of Science - Data Science
University of Guelph
Guelph, ON05.2026
Bachelor of Science - Computational Modeling And Data Analysis
Virginia Tech
Blacksburg, VA12.2023
Skills
- R
- Python
- SQL
- English (Fluent)
- Chinese (Native)
- Problem-Solving and Effective Communication
- Faithful
Awards
- Dean's List: 2020
- Dean's List: 2021
- Dean's List: 2022
Timeline
Data Scientist Intern
Baidu
05.2023 - 08.2023
American Statistical Association (ASA) DataFest
On campus
03.2022 - 04.2022
Deloitte Data Analytics Challenge
Remote
01.2020 - 02.2020
Master of Science - Data Science
University of Guelph
Bachelor of Science - Computational Modeling And Data Analysis
Virginia Tech
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