About

Alexander Chu is a passionate data scientist with a keen interest in analyzing financial data. With a strong background in data science and machine learning, he has recently developed a model that achieved top 5% performance on Kaggle's Two Sigma Financial Modeling Challenge training dataset using XGBoost regressor and cross-validation. Currently working as a consultant at Baringa Partners, Alexander has previously worked as a data analyst at openrice.com and a computer vision engineer at ASM Technology Hong Kong Limited. Alexander's expertise in data science and machine learning stack includes Python with Numpy, Pandas, Matplotlib, Scikit-learn, XGBoost, Keras, TensorFlow, OpenCV, and Jupyter notebook, SQL, R, and Microsoft Excel. He has experience in various machine learning applications such as predicting user attributes by modeling user behavior, developing and automating image classification using convolutional neural networks, and pre-training language models for downstream tasks such as review sentiment classification and search engine enhancement. Alexander's experience in data engineering includes developing data pipelines for tracking deep links, proposing and implementing modernizing data warehouses and dashboards using Google BigQuery and data studio, developing pipelines for data synchronization between on-premise Microsoft SQL Server and Google BigQuery, and maintaining the integrity of user analytic event data from the front-end (app, web). He has also developed and deployed data pipelines for demo dashboard "OpenRice Market Insights" webpage, proposed and implemented a new schedule infrastructure using Apache Airflow, and developed and maintained web crawling for monitoring competitors. Alexander holds a Master of Science in Computer Science from the Georgia Institute of Technology, a Nanodegree in Machine Learning Engineer from Udacity, and a Bachelor of Engineering in Transportation System Engineering from The Hong Kong Polytechnic University. He is proficient in various software stacks, including Python, Jupyter notebook, Docker, SQL, Airflow, BigQuery, Google data studio, Hadoop, Spark, Google Analytic, and R. With 1.43 years of relevant experience, Alexander is a skilled data scientist and machine learning engineer with a strong passion for developing valuable models and contributing to the field of data science.