Data Engineering & Analytics · Philippines 🇵🇭
I design and build data pipelines that extract, transform, and load data from whatever sources I find interesting, then turn that data into structured, insight-ready outputs. I'm a Computer Science graduate with strong hands-on experience in Python, SQL, and data handling, and I'm expanding into machine learning, statistics, and data visualization as I work toward covering the full data lifecycle from raw ingestion to business insight. Currently building end-to-end data projects that connect live data pipelines to analytics dashboards and recommendation system that bridge data engineering with real analytical output and machine learning capabilities.
- Languages: Python · SQL
- Data & Analytics: Pandas · NumPy · Matplotlib · Seaborn · scikit-learn
- Databases & Warehouses: PostgreSQL · MySQL · SQLite · Snowflake
- Backend & APIs: SQLAlchemy · FastAPI · Requests · BeautifulSoup
- Data Visualization: Power BI (in progress) · Matplotlib · Seaborn
- Tools & Environments: Git · GitHub · Jupyter Notebook · Docker · Ubuntu
- Extending Steam Charts Tracker: an end-to-end data engineering project tracking game popularity trends, connected to an analytics dashboard using Power BI and Matplotlib/Seaborn Python Library and a game recommendation system powered by machine learning model.
- Exploring the ELK Stack (Elasticsearch · Logstash · Kibana) for log analytics and data observability via Docker.
- Deepening applied statistics, machine learning, and data visualization skills through end-to-end projects.
- Open to Data Engineer, AI/ML Engineer, and Developer roles.
Designed an enterprise-grade analytical data repository for a real government client, centralizing performance measurements across 37+ departments and offices. The system tracks the Governor's Joint Strategic Goals (GJSG) through a galaxy schema with shared dimensions, a full data catalog, and data lineage documentation that was built with careful attention to referential integrity and cross-departmental query performance.
Real-world client · 37+ departments · Galaxy schema · Full data catalog · 100% referential integrity
Data Modeling PostgreSQL SQL Dimensional Modeling Entity-Relationship Diagram (ERD) Data Catalog Data Lineage Government
Exploratory data analysis of public tweets on Philippine flood control issues. Applied Natural-Languange Processing (NLP), statistical pattern analysis, and composite engagement scoring using MinMaxScaler (scikit-learn) to surface and visualize public sentiment trends. Demonstrates end-to-end analytical thinking from raw text data to interpretable, visualized insight.
Python Pandas NumPy scikit-learn Matplotlib Seaborn Statistics NLP EDA Data Visualization Jupyter Notebook
Steam Charts Tracker (in progress)
End-to-end data project that automatically scapes live gaming metrics from Steam Charts Website across Bronze-Silver-Gold Medallion Architecture for tracking trending games, top games, and peak game records. Being extended with a Power BI analytics dashboard and a game recommendation web-application system applying machine learning on processed pipeline data.
Python Pandas NumPy PostgreSQL Snowflake SQLAlchemy BeautifulSoup ETL Medallion Architecture Machine Learning Data Visualization Power BI Web Scraping Git
- ELK Stack (Elasticsearch · Logstash · Kibana): setting up locally via Docker for log analytics and data observability
- Machine Learning: applying statistical modeling and scikit-learn to recommendation systems
- Power BI: building analytics dashboards connected to live data pipelines
- Docker: containerizing data pipelines and local development environments
- Ubuntu: Linux-based development workflows and CLI tooling
Python · SQL · Data Engineering · ETL Pipelines · Dimensional Modeling · Data Analytics · Data Handling · Statistics · Data Visualization · Natural-Language Processing (NLP) · Git · GitHub
- Quiet environments and cold rooms are my ideal work setup
- I'm an NBA fan, especially when playoff season hits.
- I love watching League of Legends Esports, especially during World Championship.
- Working toward a home office with fast internet and a mechanical keyboard worth the investment