Data Scientist and Data Intelligence Analyst
Technical Skills: Python, SQL, Azure, PostgreSQL, Streamlit, Django, MATLAB, Power BI, Tableau, AWS, Clickhouse
Education
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| Ph.D., Information Technology |
Selinus University of Science and Literature (Sept-2024) |
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| Ph.D., Computer Science |
De La Salle University (Jan-2023) |
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| Master in, Information Technology |
Technological Institute of the Philippines (Mar-2012) |
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| B.S., Computer Science |
Technological Institute of the Philippines (Mar-2009) |
Work Experience
Data Scientist @ Adaca (Individual Contractor) (_April 2024 - June 2025 _)
AI Engineer @ CPRAS (Individual Contractor) (July 2022 - Sept 2024)
- Developed OpenAI integration for enhanced information retrieval and interaction.
- Implemented GPT-4 models to elevate language processing and understanding in various applications.
- Developed a Retrieval Augmented Generation AI tool for UK environment councils.
- Tools: Django Framework, Pinecone Vector Database, OpenAI Models, Python.
Data Analyst @ Hearns Hobbies (November 2022 - February 2024)
- Conducted in-depth analysis, report design, and ETL processes for product price analysis.
- Provided actionable recommendations to optimize business strategies.
- Tools: Python, Azure Functions, Azure Web Service, Microsoft SQL, ETL, Selenium, Scrapy.
Data Science Developer @ Scrapwave/Viseon/Super Apps LTD (Part-time) (June 2023 - March 2024)
- Provided consultancy on DevOps production technologies and dashboard design.
- Conducted EDA and ETL process optimization.
- Tools: Python, Streamlit, Postgres SQL, Django, Machine Learning.
Data Specialist @ Kidzapp (Freelance Contract) (June 2023 - March 2024)
- Developed automation solutions using Streamlit for dynamic dashboards.
- Engineered Python automation scripts for weekly report generation.
- Tools: Python, Streamlit, Postgres SQL, Django, matplotlib.
Data Analytics Consultant @ DevOpstechnologiesPh (October 2022 - November 2023)
- Provided consultancy on DevOps production technologies and dashboard design.
- Conducted EDA and ETL process optimization.
Web Developer (Contract) @ AskTheDragon.com (October 2019 - February 2020)
- Developed a Computational Thinking Education website with LMS capabilities using Django.
Educator Experience
Adjunct Data Science Specialist Instructor @ CIIT College of Arts and Technology Inc. (January 2023 - January 2024)
- Delivered high-quality educational content in Data Science.
- Conducted mentoring, doubt sessions, and course management via Lyon LMS.
Adjunct Faculty in Data Analytics @ Upgrad (Remote) (January 2023 - September 2023)
- Provided guidance in Data Modeling and Advanced SQL Queries.
- Conducted weekend sessions for international students.
DICT Professional Trainer (Seasonal) @ ICT Literacy and Competency Development Bureau (November 2022 - November 2023)
- Provided Web Development with Analytics Training using Django Web Framework.
Associate Faculty Level 4 @ Technological Institute of the Philippines (June 2009 - August 2024)
- Taught Computer Science courses related to Data Science, using tools like Java, HTML, CSS, JavaScript, Python, SQL, Excel, and Power BI.
Projects
Azure OpenAI RAG Studio implementation
Developed a fast implementation of the RAG approach utilizing Azure AI services and Azure AI search for Azure OpenAI chatbot development.

Project Shipping Recommender
Developed a Fast API backend application utilizing Facebook’s FAISS library for text similarity in recommending shipping prices.

Project: GPT AI Engineer
Created a dynamic web platform with AI integration into company communication channels such as Discord and Microsoft Teams.

Project: Data Engineering - Melbourne, Australia (Remote)
Developed a web scraping script for product price comparison analysis and automated SEO improvement using AI.
Project: Analytics Dashboard (Kids Activities eCommerce)
Conducted research and implemented a time series prediction model for marketing opportunities and product performance trends.
Project: Python Backend Developer (Contract)
Managed features and bug fixes for the Bayad App and handled specific parts of the Admin Panel.
Talks & Lectures
- Bondoc, E. R. P., Dadiz, B., Aranas, J. (2023). NLP-based malicious destruction recognition on web-based online articles using machine learning. 2023 10th International Conference on ICT for Smart Society (ICISS). doi: 10.1109/ICISS59129.2023.10291886
- Regla, A. I., Dadiz, B. G. (2023). A Convolutional Neural Network Study on Depression and Eye Blink Analysis. International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-12 Issue-5, April 2023. doi. 10.35940/ijitee.I7540.0881019
Certifications