Dylan Cedillos
Data Science & Analytics | Python • SQL • Power BI • Machine Learning & AI
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About
Data Science & Analytics undergraduate (SUNY Canton, May 2028) with hands-on Python, SQL, and Power BI skills and 4+ years applying data analysis in fast-paced, data-intensive professional settings. Built an AI-assisted automation prototype using a knowledge base and prompt templates, and an interactive dashboard on ~110K records with engineered features and statistical KPIs. Analytical and detail-driven, comfortable presenting findings to technical and business stakeholders, and eager to apply data science and emerging AI tools to real business problems.
Experience
Claims Analyst at IV Medical Services (2026-07 – Present)
- Analyze large volumes of claims and payer data daily to identify root-cause patterns and recovery opportunities across 2 orthopedic and 2 spine practices, working to audited weekly quality-and-productivity targets.
- Maintain a structured, de-identified dataset (payer, procedure code, reason, amount, outcome) and surface payer-level trends — turning operational data into actionable insight and communicating recommendations to leads and providers.
Ophthalmic Scribe at SightMD (2023-10 – 2026-07)
- Captured and validated 50+ structured data records per day in an EHR (~95% same-day completion), ensuring data quality and consistency for downstream reporting.
- Identified recurring data-quality gaps and workflow bottlenecks and surfaced the patterns to clinical leadership.
Certified Pharmacy Technician at CVS Pharmacy (2021-06 – 2023-06)
- Processed and adjudicated 150+ transactions daily with high accuracy in a regulated, data-driven environment; resolved data mismatches by cross-referencing records across systems.
Education
B.S. in Data Science and Analytics – SUNY Canton (SUNY) (2028-05)
A.A.S. in Computer Information Systems – Suffolk County Community College (2026)
