Carlos Resurreccion

Built deterministic drug–code matching pipeline achieving 95.5% ATC coverage and 69.3% DrugBank ID coverage across 2,427 drug codes, linking 146K+ eSOA line items to PhilHealth Annex F standards. Maintained national eClaims processing system handling 120M+ claims with <24hr batch turnaround, reducing manual reconciliation by ~70% and enabling DRG pricing analytics across DOH, PhilHealth, and PIDS.

Supported PhilHealth's DRG-based provider payment reform by building data pipelines processing 5 years of claims data across CF2–CF5 claim forms. Standardized metadata schemas, reducing data quality exceptions by 40%. Authored 15+ technical documentation artifacts for cross-agency stakeholders. Deployed GCP infrastructure (n2d-highmem-16 VMs) cutting processing time from days to hours.

Spearheaded development of a mixed-methods research proposal for BHW Connect, designing quasi-experimental framework and ethical/data security protocols aligned with UHC and WHO standards.

Led data engineering for VHIN project: cleaned and unified 29 LGU/central datasets (~500K records) into single schema, resolving inconsistent ICD codes, PSGC mappings, and date formats. Built OCR pipeline with Amazon Textract processing 7 scanned datasets, reducing manual encoding time by 80%. Deployed R Shiny dengue prediction app (DengueCast) to production.

Oversaw development of primary prevention and health promotion modules and led household mapping and community health profiling to inform interventions in Brgy. Calawis.

Developed and delivered a 2-hour short course for Project LAAN applicants focused on community health skills and preparedness for fieldwork.

Coordinated transportation logistics for community visits and ensured timely field operations for Project LAAN partner activities.

Assisted clinical measurements and organized patient records at Brgy. Tumana Health Center to improve service flow during peak hours.

Conducted household counts and surveys using SF-36 to profile community health in Brgy. Fortune for local health planning.

Grade: 3.77

Pursuing MS in Data Science (AI Track) with coursework in machine learning, statistical modeling, and data systems.

Completed 2 years of MD-MBA program before pivoting to data science. Foundation in clinical reasoning, health systems, and evidence-based medicine.

Grade: Cum Laude

Activities and societies: Community health research, household surveys, Project LAAN involvement

Earned a Bachelor of Science in Health Sciences with involvement in community health research and fieldwork.

Completed secondary education with a high school diploma.

Completed primary education with a grade school diploma.