Portfolio

Technical & Data Science Projects

Featured Tutorial Projects

ProjectDescriptionTools / Skills UtilizedView / Details
Build Your Own LinkedIn Analytics (2025 – 2026)An end-to-end data product for personal LinkedIn Analytics, detailed for educational purposes in an ongoing blog seriesDatabricks, Python, Spark, SQL, Data Engineering, Data Analytics, Data Architecture, Dashboarding, Technical DocumentationArticle Archive
GitHub Repository

Metis Data Science Bootcamp (2020): Project Portfolio

A comprehensive portfolio of end-to-end projects completed during the Metis Data Science Bootcamp (2020), demonstrating practical technical depth across machine learning, NLP, deep learning, and data engineering:

ProjectDescriptionKey TechnologiesView / Details
NYC MTA Turnstile Data AnalysisExploratory data analysis, station usage patterns, recommendation system for optimal campaign placementPython, Pandas, SeabornProject Overview
MyAnimeList Score PredictionWeb scraping, feature engineering, regression modeling, and bias analysis for crowd-sourced entertainmentPython, Scikit-learn, BeautifulSoupProject Overview
Global Fishing Watch ClassificationClassification of maritime traffic, supervised ML for vessel activity using Random Forest (F1=0.90, AUC=0.98)Python, PostgreSQL, Random ForestProject Overview
Fake News Detection (LIAR Dataset)Advanced NLP, topic modeling, and word embeddings for automated fact-checking and claim classificationPython, NLP, GloVe, LDAProject Overview
Generative Poetry with LSTM Neural NetsDeep learning model for creative text generation, full-stack integration with Flask and PostgreSQLPython, Keras, LSTM, FlaskProject Overview
ProjectDescriptionTools / Skills UtilizedView / Details
Klook Travel Planner Capstone (2025)End-to-end UX research and Figma prototyping, developed as part of the NTU Advanced Certificate in UI/UX & Digital Product ManagementFigma, UX Research, Product DesignFigma Deck (Read-Only)
  • These projects showcase how UI/UX principles inform my approach to building intuitive, effective data products—reflecting my belief that real value emerges when technical excellence meets user-centric design.

Enterprise Data & AI Solutioning (Selected Work Summaries)

Prudential (Singapore) — Senior Data Engineer, Solutioning & Architecture

  • Established medallion architecture and standardized cross-team documentation for scalable data lakehouse infrastructure.
  • Led proof-of-concept and solutioning for GenAI and MLOps workflows, delivering increased operational efficiency and cost reduction.
  • Guided technical development of AI/ML projects on Google Cloud and Databricks.

SPH Media — Lead Data Engineer

  • Architected and delivered cost-saving, resilient data pipelines in AWS; implemented robust batch and streaming data solutions.
  • Drove team-wide technical upskilling, process improvement, and documentation standardization.
  • Managed analytics platform migration and integration for enterprise media operations.

How to Verify & Learn More

For further detail or code samples, selected repositories or extended case studies are available upon request. Please use the above contact methods for access.