About Me
Hi, my name is Weizhi Quan and I am currently a Master of Data Science Student at University of Melbourne.
I am most skilled in: Mathematics, Data Analysis, Machine Learning, Python, SQL.
My primary research interest is in data science, computational statistics, and machine learning.
Education
University of Melbourne
Master of Data Science
February 2024 - Now
- Currently studying Master of Data Science at University of Melbourne.
- Expected to graduate in 2025.
- Relevant courses: Data Analysis, Machine Learning, Data Visualisation, and Big Data Management.
Queen's University
Bachelor of Science (Honours)
September 2018 - June 2023
- Graduated with major in Mathematics, minor in World Language Studies, and certificate in Data Analytics.
- Grade of A/A+ in Real Analysis, Fundamental Statistical Inference, Topics in Data Analytics, and Statistical Learning II.
- senior year GPA: 3.7/4.3.
Projects
American Express - Default Prediction
Kaggle Competition
November 2022
Innovative methods of using MAD in feature engineering in extremely large dataset, decent amount of work in data visualizing & preprocessing, and systematic analysis among machine learning models including LGBM, XGB, LSTM & CATB.
Predicting a Recession Using Bond Yields with ARIMA
April 2021
Accurately predicts economic recession. Works include seasonal differencing to remove cyclic trends in time series, parameter tuning with PACF & ACF, model construction using AIC & BIC test, and possible improvements using ARMA-GARCH model.
Internship
- Coordinating between business in mainland China and business overseas.
- Intensive use of Pivot Table to analyze data.
- Fundamental practice including data sorting.
- Programming application including using Python to run projects.
- Innovative projects including using Python and KNIME to maintain database and check for irregularity routinely.
Honours & Awards
Dean's Honour List
Queen’s University, Winter 2021
Principle's Scholarship
Queen’s University, September 2018