As a Data Scientist and Machine Learning Engineer, my professional ethos is anchored in leveraging analytical prowess to drive data-driven decisions and innovation. My industry experience is highlighted by:

• Developing AI-infused web platforms that streamline organizational communication and enhance collaborative workflows.
• Delivering comprehensive analyses and automated processes that optimize e-commerce operations and SEO strategies.
• Utilizing tools such as Azure, PostgreSQL, Python, and more.

I also bring experience in IT education, allowing me to distill complex technical concepts into actionable insights. This fusion of hands-on development and insightful instruction positions me to contribute meaningfully to cutting-edge projects and the evolution of intelligent systems in the business sector.

Bravo Fit Australia | Apr 2024 – Mar 2025

• Developed and automated end-to-end data ingestion pipelines using Python and Bash.
• Extracted data from source APIs and loaded it into Azure Data Warehouse.
• Transformed large-scale financial and employee datasets using Python and MS SQL (CTEs).
• Delivered analysis-ready datasets for decision-making support.

• Customer Churn Analysis
• Member Attrition Analysis
• Pay Categories Report
• Revenue Accounting Report
• HR Analytics – Employee Tenure Report

DBeaver, Azure Data Studio, Visual Studio Code, Linux Ubuntu, SSH, MS SQL, Python, Power BI, Microsoft Fabric

Skills: Business Intelligence, Data Analysis, Data Engineering, Software Engineering

CPRAS (Remote Contract) | Jul 2022 – Sep 2024
Warrington, England, UK

• Integrated OpenAI models with company knowledge base for enhanced info retrieval and interaction.
• Implemented GPT-4 for advanced NLP and LLM tasks.
• Developed a Retrieval Augmented Generation (RAG) system for generating action-based case templates used by UK environment councils.

Python, Django, Pinecone Vector DB, OpenAI API

Skills: Python, Django, LLMs, OpenAI API

Hearns Hobbies (Remote Part-Time) | Nov 2022 – Feb 2024
Melbourne, Australia

• Conducted product and price analysis by comparing Traxxas RC cars and Tamiya model kits.
• Built web scraping and ETL pipelines to extract, preprocess, and analyze product data.
• Used tools like BeautifulSoup, Selenium, Scrapy, and Web APIs for automated data extraction.

Technological Institute of the Philippines – Manila | Jun 2009 – Jul 2024
Manila, Philippines

• Taught Computer Science and Tech-Related courses, focusing on Data Science, to over 40 students per semester with an average course rating of 93%.
• Integrated tools such as Java, HTML/CSS, JavaScript, Python, SQL, Excel, and Power BI in instruction and project delivery.
• Supervised and led 50+ thesis/capstone projects involving real-world data analysis (datasets over 400MB), resulting in high-impact, actionable insights for case studies.

• Programming: Python, SQL, Bash
• Data Platforms: Azure, MS SQL, PostgreSQL, Microsoft Fabric
• Analysis & BI: Power BI, Pandas, Numpy
• Frameworks: Django, OpenAI GPT, Scrapy, Selenium
• Development: Linux, VS Code, Azure Data Studio, DBeaver, Git