Yufan HE
Irvine,CA
Summary
Experienced in statistical modeling, regression analysis (linear, logistic, ridge), clustering (K-means, hierarchical), and causal inference. Proficient in Python, R, and SQL. Expertise in data preprocessing, time series analysis, and machine learning techniques. Strong background in data visualization using ggplot2, Matplotlib, and Tableau. Analytical skills in financial auditing, predictive modeling, and environmental data analysis. Well-equipped to handle complex projects. Familiar with A/B testing, hypothesis testing, and optimization methods.
Overview
1
1
year of professional experience
Work History
Intern
Chongqing Zhixiang Jintai Biopharmaceutical Co., Ltd.
04.2023 - 07.2023
- Conducted data-driven analysis for production planning and quality control.
- Developed ridge regression & autoregressive models to assess raw material variability and processing effects.
- Identified key quality predictors and optimized manufacturing processes.
- Provided data-driven recommendations, improving efficiency and reducing material waste.
Audit Intern
PricewaterhouseCoopers Zhong Tian LLP
02.2023 - 03.2023
- Ensured data accuracy & compliance with IFRS and China GAAP.
- Conducted data cleaning & reconciliation using Excel and Python to enhance audit reliability.
- Optimized workflows, reducing audit preparation time by 20%.
- Analyzed revenue, cost structures, and profit margins.
- Collaborated with clients' financial teams to resolve discrepancies.
Intern
National Laboratory of Pattern Recognition
08.2022 - 09.2022
- Cleaned & preprocessed data in R, handling missing values.
- Visualized response distributions using pie and bar charts.
- Applied multiple linear regression to assess behavior-anxiety relationships.
- Used K-means clustering to identify patterns by gender and education.
Education
Master of Science - Statistics
University of California, Irvine
Irvine, CA06.2025
Bachelor of Science - Statistics
University of South Carolina
Columbia, SC12.2022
Skills
- Programming: Python, R, Java, C, SAS, SQL
- Data Analysis & Management: Data preprocessing, cleaning, and SQL-based management
- Statistical Modeling: Regression (linear, logistic, ridge), clustering (K-means, hierarchical), causal inference, time series analysis, and stochastic processes
- Data Visualization: ggplot2, Matplotlib, Tableau, and presentation skills
- Microsoft Office Suite: Excel, Word, PowerPoint
Coursework
- Data Visualization with SAS: Processed student test data and generated tabular grade reports.
- Reaction Time Study: Used Wilcoxon signed-rank test, confirming significant improvement post-training.
- Leukemia GR Site Comparison: Applied Wilcoxon rank-sum test, identifying significant variability between chronic and acute leukemia patients.
- Diabetes Risk Modeling: Built logistic regression models in R, identifying glucose, BMI, pedigree, and age as key predictors.
Languages
English
Professional Working
Chinese (Mandarin)
Native or Bilingual
Timeline
Intern
Chongqing Zhixiang Jintai Biopharmaceutical Co., Ltd.
04.2023 - 07.2023
Audit Intern
PricewaterhouseCoopers Zhong Tian LLP
02.2023 - 03.2023
Intern
National Laboratory of Pattern Recognition
08.2022 - 09.2022
Master of Science - Statistics
University of California, Irvine
Bachelor of Science - Statistics
University of South Carolina
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