Eileen Galido

Developed and deployed risk assessment models for consumer and commercial lending products, leveraging ML techniques to predict default probabilities, optimize credit decisions, and reduce portfolio risk. Collaborated with credit risk to align models with regulatory and business requirements, to improve approval rates and lower delinquency.

Built and deployed credit risk models (classification and PD modeling) for consumer and commercial lending products, improving approval targeting while reducing portfolio delinquency. Designed end-to-end modeling workflows (feature engineering, validation, monitoring) and integrated AI tools to enhance experimentation and analytics productivity.

Provided consulting services to students who are in need of statistical assistance in their papers, thesis, projects, and other academic-related requirements.

Collaborated with business units to identify needs and conduct tailored analyses to support strategy formulation. Supported post-acquisition integration of RBank customers through segment-based treatment strategies, built dashboards for depositors and motorcycle loans, and performed post-value realization assessments.

Collaborated with business units as a consultant to identify needs, conduct tailored analyses, and support strategy formulation. Analyzed motorcycle loan customers using bank and alternative data to generate leads projecting Php 213.92 million in total net income at a 2.5% conversion rate and developed dashboards to support targeted marketing and post-acquisition customer integration.

- Collaborated with business units as a consultant to identify their needs, conducting tailored analyses and assisting them in formulating strategies to achieve their objectives and realize their goals
- Supported the integration of RBank customers into the new bank systems post-acquisition by devising tailored treatment strategies for distinct customer segments
- Developed and launched comprehens

Served as de facto team lead in a pioneer team, guiding colleagues to meet project objectives and key performance indicators. Developed ML/AI solutions for customer acquisition and lead generation, including a regression model for income estimation to pre-qualify credit cards for 19K depositors and a classification model for automatic credit limit increases for 62K eligible cardholders.

Retrained suspicious transaction auto-disposition models to reduce manual investigation workload by 40% monthly. Developed early-warning auto loan default and mortgage delinquency escalation models, and partnered with compliance, collections, and risk teams to operationalize ML systems in production while building monitoring dashboards for model drift and stability.

Completed the LEAD Management framework program immersion across customer experience, model validation, and data science enterprise architecture. Served as a mentor in data science development programs and bootcamps for aspiring data scientists through UBXcellerator, UP Data Science Society, and UP Career Assistance Program – Statistics.

Data Scientist at UnionBank of the Philippines using machine learning and analytics tools including Spark, Python, SQL, and Tableau/Power BI.

Part of the bank’s leadership pipeline under the LEAD Management program framework. Immersed in different areas of the bank including data science and artificial intelligence, customer experience, model validation, and data science enterprise architecture.

Data Scientist at Aboitiz Data Innovation (details not provided).

Provided data analysis and modeling services for clients across different sectors. Collaborated with clients to define custom solutions and communicated statistical concepts and results.

Provided consulting services to students and professionals in need of statistical assistance in their academic and work-related requirements.

Managed and enhanced advisor data operations, including validating, cleaning, and inputting data from internal systems, and producing financial reports for research teams. Led initiatives to streamline team workflows and improve process efficiency.

Validated, cleaned, and inputted source data into internal systems and database tools. Created high quality reports for internal research teams. As part of the pioneer team, spearheaded team initiatives to improve workflow processes and led the workflow and process for the team’s Advisor data operations.

Accomplished actuarial valuation reports for pension plans of various countries. Updated necessary documents regarding valuation for these companies. Performed data runs, liability runs and financial reporting through the company's in-house valuation software.

Grade: GPA: 3.8/4.0

Activities and societies: Electives: Introduction to AI, Pattern Recognition, Computer Vision.

Completed a Master of Science in Data at Ateneo de Manila University (2023–2026), with a GPA of 3.8/4.0. Electives included Introduction to AI, Pattern Recognition, and Computer Vision.

Earned an MS in Data Science at Ateneo de Manila University (2023–2026).

Activities and societies: Chairperson, UP School of Statistics Student Council (2019–2020); Member, UP Statistical Society (2018–2020).

Earned a Bachelor of Science in Statistics at the University of the Philippines Diliman (2017–2020). Participated in student organizations within the UP School of Statistics community.

UP School of Statistics Student Council
Chairperson (May 2019 - August 2020)
Third Year Batch Representative (May 2018 - May 2019)

UP Career Assistance Program - Statistics
Co-Chairperson (May 2018 - May 2019)

Completed high school and earned a High School Diploma at PAREF Rosehill School, Inc. (2012–2015).