Hi, I'm Andrea Huang
I'm a dedicated creator, with a focus on turning vision into reality. INTJ.
Based in Singapore
About me
I am passionate about transforming how AI accelerates real-world solutions. With a background in quantitative finance and AI technology, my journey spans from developing advanced machine learning models to leading high-performing teams of engineers and data scientists. I am focused on building a future where AI empowers businesses and individuals alike. In the financial markets, I learned the importance of productivity, the first principles of investment, and the planning and operation of business models. Success in the stock market during my sophomore year made me realize the world needs value creation. I then pursued a master’s degree, diving deep into AI technology, from concept to training and validation, continuously improving accuracy, which I found deeply rewarding. I became particularly fascinated by reinforcement learning and attention mechanisms. This passion for technology led me to embark on my entrepreneurial journey in 2024, founding Altair X to deliver cutting-edge AI solutions to the world. Making the complex simple. Let’s work together to build something meaningful and shape a future where technology enhances human potential.
Education
Master of Science in Digital Finance, National University of Singapore
Aug 2022 - May 2024
Singapore
Courses: Machine Learning, Neural Networks, Blockchain, Algorithm and Data Structures
Bachelor of Science in Statistics, Cornell University
Aug 2017 - May 2021
Ithaca, New York
Courses: Statistial Models, Quantitative Analysis, Data Science
Experience
Quantitive investment analyst
Apr 2021- Jul 2022
E Fund Management Co.Ltd
Developed D-Alpha models to capture market-neutral alpha, improving portfolio performance through high-frequency trading (HFT) and statistical arbitrage. Integrated factors like value, momentum, quality, and volatility to enhance stock selection, diversify risk, and optimize return predictability.
Data Scientist Intern
Jan 2020 - Apr 2020
JP Morgan Chase
Built and maintained data pipelines with Python, SQL, and Apache Spark to preprocess large financial datasets. Developed predictive models using machine learning (linear regression, decision trees, random forests, gradient boosting) to forecast stock prices and returns.
Investment researcher Intern
Jun 2019 - Dec 2019
JP Morgan Chase
Analyzing market trends and industry data to support investment strategies, building and refining financial models, conducting quantitative analysis using tools like Excel, Python, and R, and drafting concise research reports. Assist with portfolio management, track asset performance, and contribute to strategic discussions during team meetings.