Zelong Wang Email & Phone Number

United States

San Diego, California, United States

• Theoretical Foundations of DS – Prof. Janine TiefenbruckThe Practice and Application of DS – Prof. Sam Lau
• Automated the grading process by developing test cases and grading systems on Python and Jupyter Notebook.
• Assisted over 600 students by conducting office hours, leading labs and discussions, answering questions on the forum, as well as creating and grading assignments and exams.

San Diego, California, United States

• At Rappel Lab under the guidance of Professor Wouter-Jan Rappel and Michael (Reiß) Reiss- Worked with both deep learning vision models and statistical signal/vision technics
• Developed a two-stage Python workflow that segments more than 60 GB of images and videos, and applies an unsupervised clustering algorithm for data cleaning and constructs velocity vector fields for scientific analysis.

• Proposed and developed a machine learning powered monitoring system. Tested models like Random Forest, ARIMA, Prophet, and Temporal Fusion Transformer for self-supervised anomaly detection.
• Manipulated hundreds of millions of data points using SQL and Python, and composed the dataset pipeline for automated model retraining and update. Led a team of four to implement the new system which improved the F1.
• Proficient at using SQL, Tableau, Python, and Machine Learning to deliver data visualizations and insights for daily operations.

San Diego, California, United States

• Led team projects by building machine learning models and creating visualizations, facilitating clear communication of data insights. Launched and maintained the company website using React.js and Heroku.
• Organized events, including data analysis projects and alumni talks, fostering collaboration and knowledge sharing.

• Guided by Professor Richard Carson and Professor Dale SquiresData-Driven Analysis of Ethical Preferences in UN Membership Policies
• Developed an ETL data mining pipeline using Python and AWS to create a large dataset from 70 years of United Nations policy documents. Improved processing efficiency and accuracy, especially for handwritten records.
• Performed regression and hypothesis testing that provided support for established and consistent ethical preferences, which could serve as a standard to guide and facilitate multilateral cooperation by reducing.

• Guided by Professor Richard CarsonVariations in Conditional Logit Assumptions via Monte Carlo Simulation
• Designed experiments to evaluate the properties of Conditional Logit under different assumptions by performing Monte Carlo simulation and controlling the error term under Minimum and Maximum Gumbel Distributions.
• Coded an automated program to analyze statistical metrics and create academic graphs in Stata.

https://pace.ucsd.edu/external/We developed a program that emphasized communication and peer support over just technical skills, drawing from diverse resources like research and student feedback. Now the PACE-Program has officially become part of the computer science curriculum.

Master Of Science - Ms, Data Science

Bachelor Of Science - Bs, Data Science, 3.99/4.0

Primary Major: Data Science Double Major: Applied Math & Economics

High School Diploma