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Kaiha0/README.md

I'm Kai Hao

Data Scientist | Machine Learning & NLP Enthusiast

Master in Data Science — University of Malaya, Malaysia

About

  • Master in Data Science from University of Malaya
  • Strong focus on Machine Learning, NLP, and Data Engineering
  • Experienced in building end-to-end ML pipelines and scalable data workflows
  • Hands-on experience with Big Data ecosystems and cloud platforms
  • Passionate about translating data into actionable business insights

Technical Skills

Programming & Query Languages

Python R MySQL

Machine Learning & NLP

Supervised Learning Unsupervised Learning Feature Engineering Model Evaluation Text Classification NLP Pipelines

Big Data

Hadoop Apache Spark Hive HBase

Cloud & Data Engineering

Google Cloud BigQuery Dataproc PySpark

AWS EC2 S3 DynamoDB

Connect

Feel free to explore my repositories and connect!

Pinned Loading

  1. WQD7008_PDC_Urban-Mobility-Forecasting-Using-Transfer-Learning-Architecture WQD7008_PDC_Urban-Mobility-Forecasting-Using-Transfer-Learning-Architecture Public

    Cloud-Native Lambda Architecture on AWS for Urban Mobility Forecasting using Transfer Learning.

    Python

  2. WQD7009-BDAA-A-Predictive-Model-for-Heart-Disease-Risk-Factors-using-a-Cloud-Based-Architecture WQD7009-BDAA-A-Predictive-Model-for-Heart-Disease-Risk-Factors-using-a-Cloud-Based-Architecture Public

    End-to-end Heart Disease Predictive Model using a Five-Layer Cloud Architecture (Bronze-Silver-Gold) on GCP with Dataproc, BigQuery ML, and Vertex AI.

    Python

  3. WQD7007-BDM-Big-Data-Implementation-in-Tourism-The-Walt-Disney-Company-Case-Study WQD7007-BDM-Big-Data-Implementation-in-Tourism-The-Walt-Disney-Company-Case-Study Public

    Comparative analysis of Apache Hive vs. Apache Spark on GCP Dataproc for analyzing 3.5M+ Disneyland attraction wait times and predictive modeling.

    Python

  4. WQF7007-NLP-Detecting-Fake-Job-Postings-Using-Natural-Language-Processing-and-Machine-Learning WQF7007-NLP-Detecting-Fake-Job-Postings-Using-Natural-Language-Processing-and-Machine-Learning Public

    NLP-based Machine Learning solution to detect fraudulent job advertisements. Features a modular pipeline from text cleaning to a Gradio/Streamlit prototype

    Jupyter Notebook