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SKILL SET

SAS

Familiar

Libraries familiar with:  
data step; proc print, sort, means, plot, discrim, glm, reg, princomp, factor.

PYTHON

Very Familiar

Libraries familiar with: 
NumPy, pandas, matplotlib, TensorFlow and Keras, OpenCV, NLTK, re, etc.

Programming technique : 
Procedural programming, (basic) Functional programming, Object-oriented programming, (basic) Data Structure and Algorithm.  Max size of codes handled: 1000 lines.  

Major Projects: 

(Uploading)

R

Very Familiar

(Uploading)

Major Projects: 

(Uploading)

OTHERS

Fundamental

Microsoft Azure Platform: learning on progress.  

Java:  fundamentals and Object-oriented programming.  

SQL:  fundamentals.  C++:  fundamentals.  Linux: fundamentals.

Web designs.

STATISTICAL ANALYSIS TECHNIQUES

  

Regression:  Multivariate regression, k-factor model (k-population model), ANOVA/ MANOVA. 


General linear model:  Logistic regression, Poisson/ Negative-binomial regression, Gamma and others with different link functions, weighted model.    


Experiment and survey design:  k-factor model, factorial design, random sampling, stratified sampling (low within-group variance assumption), cluster sampling (low between-group variance assumption). 


Time series model:  Auto Regressive Integrated Moving Average model. 


Others:  Hidden-Markov model, Directed graph model, Poisson process, Brownian process, etc. 

MACHINE LEARNING/ ARTIFICIAL INTELLIGENT

  

Practical skills:  Regularization, Model selection, General Additive Model, k-NN, SVM and Kernel SVM, Binary-decision tree, Trees with Ensemble methods;


Multiple Layer Perceptron, Recurrent Neural Network, Convolutional Neural Network, Attention architectures, Transformer architectures; Image processing, image transformation, Natural language processing, Text Embedding. 

Major Projects: 

(Uploading)

LANGUAGES

  

Cantonese: native, first language.


English: fluent, native under familiar contexts, able to understand some heavy British or America accents. 


Mandarin:  native, able to learn official accent, able to understand and imitate heavy accents.


Russian and Japanese:  beginner level. 

SOFT SKILLS

  

1) Project leader and director (max scale/complexity handled: team of 6 from different countries/ 5 months long/ 1 supervisor involved)
2) Team conflict solver
3) Design flow of work and incentivize both male and female colleagues

4) Comfortable to work under immense pressure


5) Teach/explain highly complicated subjects
6) Read and explain advance mathematics (mainly linear algebra and real analysis)
7) Quick learner and strong incentive self-learner

GENERAL KNOWLEDGE/ INTEREST

  

  1. Fundamental Psychology

  2. Fundamental Chemistry

  3. Fundamental Economics

  4. China/ Global Economics and Politics

​Skills/ Certificates: 清單

CERTIFICATES

(TAKING EXAM)
MICROSOFT CERTIFIED: AZURE AI FUNDAMENTALS

Content:
Understand and Deploy Computer Vision and Natural Language Processing (NLP) resources on MS Azure

(LEARNING)
MICROSOFT CERTIFIED: AZURE DATA FUNDAMENTALS

Content:
1. Intro to Azure SQL Database
2. Intro to No-SQL Database - CosmosDB, Large-binary-object storage, etc

​Skills/ Certificates: Services

COURSES TAKEN

Latest semester GPA: 3.23

STAT 3603  Stochastic processes  A-


CCGL 9030  Understanding the Financial Crisis  A-

CCCH 9042  Corruption and Anticorruption in China  B

CCST 9048  Simplifying Complexity  B

STAT 3612  Statistical machine learning  B


STAT 4609  Big data analytics  B


STAT 7614  Advanced statistical modelling  B


STAT 3600  Linear statistical analysis  B-


STAT 3604  Design and analysis of experiments  B-


COMP 1117  Computer programming  B-


MATH 2014  Multivariable calculus and linear algebra  B-


MATH 2211  Multivariable calculus  B-


STAT 3621  Statistical data analysis  C+


STAT 4710  Capstone experience for statistics undergraduates  C

STAT 3617  Sample survey methods  C-

STAT 2605 Demographic and socio-economic statistics C-

STAT 3602  Statistical inference  C-

​Skills/ Certificates: Services
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