Pengzhi Zhong - Data Science & AI Systems | pengzhong5-c@my.cityu.edu.hk

Introduction

M.S., Data Science (expected Oct 2025); M.S., Econometrics, and Bachelor's in Finance. Specializing in the design and implementation of AI-driven decision systems. Possesses hands-on experience in developing end-to-end Multi-Agent systems and intelligent SQL query agents using Python, PyTorch, and LangChain. Having ability to merge rigorous quantitative analysis with advanced AI techniques to solve complex business problems and deliver measurable commercial value.

Highlights

Bachelor in Finance and Master in Data Science and Econometrics

Dual language ability in English and Mandarin

Coding in Python and familiar with framework PyTorch, Sklearn

Experience with Agent orchestration and Neural Network training

Self-motivated, and willing to take initiative to dive into new domains

                    
                    Strong communication skills to collect ideas, brainstorming, and proactively provide input
                

Technologies

Programming Languages

Python PyTorch

Agent Orchestration

LangChain LangGraph AutoAgent

Data Processing

pandas sklearn numpy

Development Tools

Jupyter PyCharm VS Code

Machine Learning

PyTorch PEFT XGBoost LGBM SHAP Hugging Face

Prompt Engineering

ReAct Self-Consistency TIR

Education

City University of Hong Kong

Master of Science in Data Science

Sept 2024 – Sept 2025 (Expected)

Grade: 3.6
Coursework: LLM Agent System, Quantitative Finance, Large Time Series Model, Recommendation

University of Sydney

Master of Science in Econometrics

Mar 2018 – Mar 2020

Grade: Distinction
Coursework: Macroeconomics, Quantitative Finance

University of Sydney

Bachelor of Science in Finance

Mar 2015 – Mar 2018