Available for opportunities

Anson
Lam

Year 3 student in Computational Finance & Computer Science at CityU HK. Building at the intersection of ML, DL quantitative finance, and data analysis.

4+
Projects Built
1
Years Experience
1
Internships
Deep Learning and Machine Learning
Research Focus
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About Me

Hi, I'm Anson — a student majoring in Computer Science and Computational Finance. I'm passionate about web development, data analysis, and machine learning. Recently I've fallen in love with Brain-Computer Interface (BCI) research and plan to pursue it as my final year project. I enjoy building small projects that sharpen my skills and create real value.
Python
scikit-learn
Pandas
NumPy
LSTM / Deep Learning
HTML / CSS / JS
LaTeX
Portfolio Optimization
Reinforcement Learning
Random Forest
NameAnson (Cheuk-Yin) Lam
Based inHong Kong
Phone(+852) 5112 5796
Emaillcy20050603@gmail.com
Experience1 Years
ResearchDeep Learning
LanguagesEnglish · Cantonese · Mandarin
GitHub6309-lcy
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Education & Experience

2023 – Present
City University of Hong Kong

BSc Computer Science & BSc Computational Finance (Double Degree)

Covering big data analytics, derivatives pricing, portfolio management, and software engineering. Currently Year 3.

Aug – Nov 2025

Data Analyst Intern

Optimized efficiency in retrieving data by 50%, speeding up access through queries and processes. Maintained and integrated data across three databases, ensuring integrity. Assist team in drafting quotations, product catalogs, and agreements with automation pipeline on Lark

Aug – Aug 2025
JPMorgan Chase & Co.

Quantitative Researcher — Virtual Experience Program

Analyzed loan portfolios to estimate customer default probability, identified key risk factors, and developed a Random Forest model to predict potential defaults.

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Dev Projects

Python LSTM Deep Learning

Stock Prediction with LSTM

Trained 2 LSTM models with MinMaxScaler (R²: 0.96) and StandardScaler (R²: 0.95) to predict stock prices. Live Streamlit deployment.

View Live App
Python Finance Streamlit

Portfolio Management & Risk Dashboard

Comprehensive web-based tool for managing stock portfolios, analyzing performance, assessing risk, optimizing allocations, and running scenario simulations.

View Live App
Python RL Trading

Reinforcement Learning Trading

Implemented a reinforcement learning agent for algorithmic trading strategies, trained on historical market data to optimize buy/sell decisions.

View on GitHub
Python Plotly Data Viz

Interactive Data Dashboard

A live interactive dashboard built with Plotly Dash — featuring dynamic charts, data exploration, and visual analytics. Deployed on Plotly Community Cloud.

View Live App
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Analysis & Reports

Academic and independent research projects — including quantitative analyses, financial models, and written reports. Click to view or download each PDF.

Quantitative Finance Research

VWAP algorithm Performance Analysis

Developed and tested a static VWAP algorithm for intraday trading strategies about trading 1 Million shares a day, evaluating its performance against benchmark metrics (VWAP).

Neuroscience Computer Vision CityUHK Research

Predictive Coding Model for Motion Parallax Depth Perception

Research proposal under the CityUHK × Sino Grand Challenges Scholars Program. Proposes a brain-inspired computer vision model that mimics the brain's predictive processing of motion parallax — incorporating sparse error gating, hierarchical approximation, and neural alignment via RSA on fMRI data.

Business Case Competition Team Work

5-year action or business plan for Li Ning Co Ltd on domestic and global expansion

A proposal for the first round submission to the Kwonloon Chamber of Commerce Elite Development Programme for the New Century Business case competition. Came up with a business plan for Li Ning Co Ltd on expansion. Successfully got into the final round, which was held in Malaysia.

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Get In Touch

Looking forward to working or collaboration opportunities. Feel free to reach out — I'm always open to new ideas.