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
Fundamental Psychology
Fundamental Chemistry
Fundamental Economics
China/ Global Economics and Politics
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
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-