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  • De La Salle University Manila
  • 00:30 (UTC +08:00)

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hxwwong/README.md

Hi, I’m @hxwwong, a Data Operations Engineer working at Thinking Machines, a data consultancy based in the Philippines.

I graduated from De La Salle University with a B.A. in Behavioral Sciences, majoring in Organizational Development and Social Systems Management, and a minor in Data Science from the Andrew L Tan Data Science Institute.

You might know me as Hans or Xavier/Xave depending on where we've met! But feel free to call me either of these when reaching out.

I have experience across the major domains of the data landscape, having done work as a business intelligence analyst, a data engineer, an analytics engineer, and an AI/ML developer.

Right now, I'm focused on exploring areas where I can more directly use these skills and experiences to drive tangible business outcomes!

I'm passionate not only about ensuring high-quality data, but that it is used in a way that provides a clear impact on people's lives.

This personal account contains the various projects I've worked on over my career and in my personal time,

I'm always happy to make new connections and to talk about opportunities to collaborate on new work, so feel free to reach out to me on the following channels! :>

Pinned

  1. capstone-legal capstone-legal Public

    A cloud-deployed ETL pipeline that scrapes information from legal databases and websites with the aim to expand access to high quality legal resources to the average citizen, NGOs, as well as ML an…

    Jupyter Notebook 2

  2. capstone-legal-docker-scraper capstone-legal-docker-scraper Public

    This repo supplements the main `capstone-legal` project and contains the files necessary to build the Docker image that scrapes, processes, and loads legal jurisprudence.

    Python 1

  3. DEBC1-Sprint3-NER-OSM-Airflow-Pipeline DEBC1-Sprint3-NER-OSM-Airflow-Pipeline Public

    A New Entity Recognition and OSM Data Pipeline hosted locally on Apache Airflow and a Docker container. Made with Phoemela Ballaran as the final output of Sprint 3 of the Data Engineering Bootcamp

    Python 2 2

  4. DEBC1-sprint2-covid19-ETL DEBC1-sprint2-covid19-ETL Public

    Development of an ETL Pipeline based on the Google Cloud Platform that returns the COVID-19 data from the DOH data drop, disinformation tracking websites, and APIs.

    Python 1

  5. Analyzing-Vaccine-Hesitancy-in-the-US Analyzing-Vaccine-Hesitancy-in-the-US Public

    This project uses linear regression, pandas, plotly, seaborn, and other libraries to analyze vaccine hesitancy in the U.S. and determine which have significant relationships with demographic factors.

    Jupyter Notebook 1

  6. Reddit-and-Book-Webscraping Reddit-and-Book-Webscraping Public

    This project uses beautifulsoup4 to scrape data on the web and store them as dataframes. The websites in question include reddit and book website. This was submitted in partial fulfillment of the c…

    Jupyter Notebook 1