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Experiences
I love using quantitative thinking and data at hand to answer Economic questions (primarily healthcare related). I hope to understand how to incorporate machine learning concepts and techniques in answering these questions.
Research
Supervisor: Philip Hoxie
Food Aid Project (Currently in progress)
Worked with another undergrad RA to clean datasets consisted of food aid delivery predictors of USAID using R.
Imputing missing values and creating data quality flags in the following datasets and aggregating to the country level.
Applied a series of machine learning models including LASSO and OLS to predict the amount of food aid delivered to foreign countries.
Engaged in collaborative programming workflows, using Dropbox to manage shared code, synchronize changes, and support team-based development.
Unified Agenda Project
Collaborated with another undergrad RA to fix corrupted XML files to complete a graph that previously had missing entries.
Used Xmplify (a web-downloaded app) to validate malformed XML files and identify errors within.
Learned to work collaboratively effectively with pre-existing file structure and code.
Crop Time-Series Project
Constructed a time-series dataset consisted of more than 50 years of crop production data in the US.
Used R to apply time-series methods, testing for stationarity, structural breaks and plotting graphs.
Teaching
Facilitated the instruction of Intermediate Microeconomics (100B), Econometrics (120B) and Stata coding.
Performed regular academic duties such as exam proctoring, grading and responding to student inquiries.
Led 3 office hours per week and a 2-hour review session before midterms to support student's learning.
Graded more than 300 weekly Probability homework and Exam papers
Taught courses ranging from Pre-Calculus, Calculus, Linear Algebra, and Probability.
Facilitated the instructional team with exam grading, proctoring and organizing weekly office hours (2 hours per week).
For more details, please see my teaching page.
Others
Agricultural Bank of China (Hong Kong Branch) (Jul 24 - Aug 24)
Supervised by the credit department staff and gained proficiency towards the fundamental process of issuing loans, such as drafting credit proposals and researching company performance statistics.
Analysed more than 60 credit proposals to monitor the client's credit score and overall performance.
Conducted research on government policy changes on various clients and evaluate their repayment abilities.
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