Education
- M.A. in Statistics, Columbia University, Dec 2023
- GPA: 3.906
- Relevant Courses: Neural Networks & Deep Learning, Advanced Machine Learning, Statistical Machine Learning, Applied Data Science, Time Series Analysis
- B.S. in Mathematics, University of Michigan, Ann Arbor, Apr 2022
- GPA: 3.805
- Relevant Courses: Differential Equations, Introduction to Probability, Linear Algebra, Introduction to Theoretical Statistics, Probability Theory, Discrete Stochastic Processes
- Mathematics, The Ohio State University, Apr 2020
- GPA: 3.955
- Relevant Courses: Programming in Java, Calculus 2, Calculus 3, Linear Algebra
Teaching Experience
- Sep 2023 - Dec 2023: Grader
- Columbia University, New York, NY
- Course: STATGR5702 Exploratory Data Analysis and Visualization
Skills
- Programming & Tools: Python, R, SQL, JavaScript, TensorFlow, PyTorch, AWS, Google Cloud Platform (GCP), Azure, Apache Spark (PySpark), Hadoop, Hive, Docker, Git, PowerBI, Linux
- Languages: English (proficient), Mandarin (native)
Certifications
- AWS Certified Cloud Practitioner (June 2023)
- Microsoft Certified: Azure Fundamentals (May 2024)
Honors
- Silver Medal (Top 2%) – Kaggle Competition: Learning Agency Lab Automated Essay Scoring 2.0
- Dean’s List - 4 semesters
- University Honors - 3 semesters