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
