• Built ETL pipelines using Python, SQL, pandas, optimizing schema handling and data ingestion
• Automated analytics workflows with pandas, matplotlib, producing reproducible reporting pipelines
• Developed equity-screening prototypes using scikit-learn and custom factor transformations

• Trained risk-classification models using logistic regression, decision trees (scikit-learn)
• Automated data cleaning and joins with SQL + pandas for large financial datasets
• Performed scenario testing and model validation workflows in R

• Built contract-generation scripts using Python and template-based rule extraction
• Developed anomaly-detection models using scikit-learn, pandas
• Created ETL and dashboard pipelines with Python, pandas, matplotlib

• Shipped a Unity 2D framework (C#) to 20K+ installs with a 4.95 rating via steady maintenance & updates.
• Django-based internal social app—10K+ online users; 1M+ requests/month.
• In-game chat (Unity C# + Firebase)—scaled to 15K+ online at ~99% uptime.

• Focus: Quantitative finance, statistics, optimization.
• Activities: Trading/quant teams, research projects.

• Convolutional Neural Networks (CNNs) and transfer learning for image classification and object detection.
• Training in Vision Transformers (ViTs) and attention-based architectures for modern computer vision tasks.
• Practical modules on model deployment with Flask and Streamlit for building interactive AI applications.

• Olympiads, leadership, UNESCO initiatives.

• Organized Asian Economics Olympiad (2,500+ participants, 18+ countries); raised $50,000.
• Managed 1,750+ volunteers across 9 countries.
• Developed & sold an economics curriculum to 3 schools.

• 20+ charity fairs; $15,000+ raised.
• 80+ volunteers; 3,000+ trees planted.
• “Say No to Plastic” initiative (plastic waste ↓ ~60%).

• National team ranking 7/53.
• Training design & moderation liaison.

HKU

• MATH1013 – University Mathematics II: Limits, continuity, differentiability; functions & graphs, inverse functions; introductory linear algebra. Prepares students for advanced calculus and analysis.
• ACCT1101 – Introduction to Financial Accounting: Core principles of financial accounting, the accounting cycle, and preparation/interpretation of financial statements to support business decisions.
• COMP1117 – Computer Programming I: Intro to programming and problem solving: algorithms, data types, control flow, functions, arrays, and modular program design.
• ECON1210 – Basic Principles of Economics: Foundations of micro & macro: supply–demand, market structures, production & costs, national income, inflation, unemployment, money, and trade.
• CCAI9017 – AI and Human Creativity: How AI reshapes art, design, music, and literature; questions of authorship, ethics, and human–machine collaboration.
• CCGL9016 – The Global History of Capitalism: The origins, spread, regional varieties, and critiques of capitalism; globalization, inequality, and sustainability.

Corporate Finance Institute (CFI)

• Financial Modeling & Valuation Analyst (FMVA®): CFI's Financial Modeling & Valuation Analyst (FMVA®) Certification imparts vital financial analysis skills, emphasizing constructing effective financial models for confident business decisions. This comprehensive program ensures mastery in modeling, budgeting, forecasting, and overall competency in accounting and finance.

Coursera (DeepLearning.AI & Stanford University)

• Supervised Machine Learning: Regression and Classification: Created by DeepLearning.AI and Stanford University. Linear & logistic regression, cost functions, gradient descent, and model evaluation to build predictive ML models.
• Advanced Learning Algorithms: Created by DeepLearning.AI and Stanford University. Neural networks (incl. backprop), decision trees, ensemble methods, and regularization for stronger models.
• Unsupervised Learning, Recommenders, Reinforcement Learning: Created by DeepLearning.AI and Stanford University. Clustering & anomaly detection, recommendation systems, and RL fundamentals.

GitHub

• Multri-Strategy Engine for Trading: Modular multi-strategy crypto trading bot pulls USD OHLCV via ccxt, ensembles signals (Donchian breakout, beta regression, MA/Breakout, mean-reversion, ARMA, VWAP/CLV, Fourier, beta) into long-only target weights with EW smoothing. Executes MARKET orders on Roostoo (dry-run/live) with cash/notional guards, lot-size rounding, and CSV logs; notebooks power research/backtests and easy extension.

GitHub

• Convulational Neural Network: Convulational Neural Network Model for recognition of hand-written digits. The model uses sequential model involving 2d Conculational Layers and the result is obtained by Linear layers for classification purposes. The model is trained using CrossEntropyLoss with Adam optimizer.