Professional Experience
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Senior Data Scientist
Compass Lexecon (August 2025 — Present) -
Data Scientist
Compass Lexecon (August 2022 — July 2025) -
Research Assistant
WZB Berlin Social Science Center (October 2021 — July 2022) -
Economic Research and Statistics Consultant
Asian Development Bank (April 2019 — August 2021) -
Competition Policy Consultant
Philippine Competition Commission (February 2021 — April 2021) -
Competition Analyst
Philippine Competition Commission (November 2016 — April 2019)
Education
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Master of Data Science for Public Policy (Merit Scholar, GWA: 1.5)
Hertie School of Governance in Berlin (September 2021 — June 2023) -
Master of Science in Statistics (9 units completed, GWA: 1.25)
University of the Philippines — Diliman (September 2020 — June 2021) -
Bachelor of Science in Statistics (Cum Laude, GWA: 1.717)
University of the Philippines — Diliman (June 2012 — June 2016)
Skills
Programming Languages: R, Python, SQL
Development Tools: Anaconda, Jupyter Notebook, VS Code, R Studio
Machine Learning Platforms: Databricks, MLflow, DeepEval
Cloud Storage: AWS S3, Microsoft Azure storage
Databases: MS SQL Server, MongoDB
Application Frameworks: Gradio, Shiny
Deployment: Docker
GIS: ArcGIS, TravelTime
Version Control: Git
Statistical Tools: STATA, CSPro, SAS, Eviews, SPSS
Data Visualization: Power BI, R (ggplot2, plotly), Python (matplotlib, seaborn)
Communication: Fluent in English and Tagalog, A1 (Beginner) in German
Publications
Arbo, M.A.G. (2023). Predicting merger decision outcomes of the European Commission: A Natural Language Processing and Machine Learning approach. Thesis for Master of Data Science for Public Policy. Hertie School.
Helble, M., Lee, O.K., Arbo, M.A.G. (2020). How (Un)affordable is housing in developing Asia? International Journal of Urban Sciences. doi: 10.1080/12265934.2020.1810104