Singapore
I am a data engineer with background in physics and mathematics. Passionate about continuously learning new technological skills and to explore how underlying relations can be uncovered from data. Equally adept in working solo or on team projects.
• Developed and maintained robust ETL pipelines for HomerAI, enhancing data accessibility through real-time APIs. • Set up dbt repository to model and transform data from multiple sources to unlock value from data. • Implemented continuous training and deployment of machine learning models on Vertex AI, increasing valuation tool accuracy. • Conducted web scraping of property data across Singapore, UK, and Australia, delivering critical insights for stakeholders.
statistics, python, pandas, numpy, tensorflow, keras and train • Project 1: Analysis of Trends in SAT & ACT participation and scores • Project 2: Prediction of Ames Housing Prices with Ridge Regression • Project 3: Webscraping and Classification of Subreddit Posts using Naive Bayes Multinomial • Project 4: Prediction of West Nile Virus with Support Vector Machine, Logistic Regression and XGBoost • Capstone Project: Multi-label Classification of Research Articles using Neural Networks and distilBERT