D.Sc., Information Science
- Ongoing
- Nara Institute of Science and Technology (NAIST)
- 2023 -- 2026 (Expected)
M.Eng., Artificial Intelligence
- Partial Completion
- University of the Philippines, Diliman
- 2022 -- 2023
B.S., Physics
- Graduated Cum Laude
- Ateneo de Manila University
- 2014 -- 2019
Nara Institute of Science and Technology (NAIST)
- Research Internship
- January -- February 2023
- Explored a novel causal discovery technique that determines the causal structure in the presence of unobserved confounders
Manila Observatory Remote Sensing Group
- Undergraduate Researcher
- 2016 -- 2019
- Characterized aerosols using AERONET sun photometer optical measurements
- Calibrated and validated MISR and MODIS satellite data using sun photometer measurements
Japan Geoscience Union
- Oral Presentation
- Chiba, Japan 2018
- Title: "Aerosol Types from 25 Southeast Asian AERONET sites obtained using specified clustering and Mahalanobis distance"
American Geophysical Union
- Oral Presentation
- San Francisco, California 2016
- Title: "Determination of Monthly Aerosol Types in Manila Observatory and Notre Dame of Marbel University from AERONET measurements"
Bank of the Philippine Islands
- Senior Data Scientist
- May 2022 -- September 2023
- Achievements:
- Developed an investment propensity model that enhanced campaign targeting, resulting in a notable 22% increase in assets under management (AUM) invested
- Designed a customer lifetime value (CLV) metric that captured both current and potential customer value
- Engineered a recommender system that uses customer profiles, life stage, and financial needs to recommend tailored investment funds
Optum Labs (UnitedHealth Group R&D)
- Data Scientist
- January 2020 -- April 2022
- Achievements:
- Created reusable data analysis tools automating data cleaning, feature selection, feature engineering, analysis, and report generation
- Developed internal SQL and report generation packages (in Python) complete with documentation and unit testing
- Conducted analyses and developed models for health focus areas
BPI-UHG Data Science (BUDS) Training Program
- Data Science Apprentice
- July -- December 2019
- Participated in a 6-month intensive data science training program that taught both theoretical foundations and practical applications of data science in healthcare and finance
Scholarships and Grants
- Monbukagakusho (MEXT) Scholarship
- Japanese government scholarship
- 2023 -- 2026
- Student Travel Grant ($1000)
- American Geophysical Union (AGU)
- San Francisco, California, 2016
- Travel grant awarded to students with promising research.
- Director's List Scholarship
- Ateneo de Manila University
- 2014 -- 2019
- Scholarship awarded to top 200 applicants.
- Certified Spark NLP Data Scientist
- John Snow Labs
- Jan 2022 -- No Expiration
- Interactive Python Dashboards with Plotly and Dash
- Udemy
- August 2020 -- No Expiration
Programming
- Python: jupyter, pandas, sklearn, PyTorch, OOP, package development, unit testing, etc.
- R: R Markdown, R Shiny, etc.
- Miscellaneous: SQL, Git/Github, MATLAB, C/C++, LaTeX
Analytics
- Statistics and ML: random forests, gradient boosting, neural networks, dimensionality reduction (PCA), power analysis, generalized linear models, SVM, propensity score matching, structural causal models, etc.
- Deep Learning: familiar with state-of-the-art models for image and natural language processing, e.g., AlexNet, VGG, ResNet, DenseNet, ELMo, BERT, T5, GPT, etc.