Will Griffin

Senior Data Scientist @WebMD Ignite

Denver, CO, US
MOBILE NUMBERS
+15•••••••32

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WORK HISTORY

Jan 2026 — Present

Senior Data Scientist @WebMD Ignite

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Independently own and deliver predictive modeling projects end-to-end, including a deployed CatBoost classifier• Fine-tune transformer models (BERT, Flan-T5, BART) for classification, semantic retrieval, and text simplification as ML components of an agentic assistant• Apply PII detection and anonymization (Presidio) within NLP pipelines• Manage full ML lifecycle — experiment tracking, CI/CD, model versioning, and isolated evaluation environments

EDUCATION

N/A

University of Virginia

College of Arts and Sciences, B.A. English Language and Literature

2020 — 2020

General Assembly

Data Analytics On-Demand

2021 — 2021

General Assembly

Design Your Data: Tableau Bootcamp

N/A

University of Virginia

McIntire School of Commerce, Certificate in Business Fundamentals

2021 — 2021

General Assembly

Intermediate SQL Bootcamp

2021 — 2021

General Assembly

Advanced Excel Workshop

2020 — 2020

General Assembly

Data Science Immersive

SKILLS

TeamworkEditingTwitterPhoto EditingWriting SkillsWritingMicrosoft WordTeam LeadershipOutlookMarketing CommunicationsFacebookNewslettersVideo EditingSpeech WritingExcelAdvertisingCopywritingCreative WritingStrategic PlanningCustomer ServiceMarketingSocial MediaAthletic TrainingWordMicrosoft OfficeSalesTeam OrientedMicrosoft ExcelPowerpoint

ABOUT WILL GRIFFIN

Senior Data Scientist with five years of experience building and deploying machine learning systems in healthcare, with prior experience in logistics and operations.My work spans the full ML lifecycle, from modeling health risk, utilization, and classification problems to fine-tuning and deploying NLP and large language models for clinical applications. I design production pipelines, own systems end-to-end, and care about the gap between a model that works in a notebook and one that holds up in production.Before data science, I spent eight years in logistics — managing operations, aligning teams, and solving problems under real constraints. That background shaped how I approach technical work: with an eye toward what\'s actually useful, not just what\'s technically interesting.I\'m always open to conversations about interesting problems in data science, AI, and ML.Technical focus areas: predictive modeling · clinical NLP · LLMs & RAG · MLOps · healthcare analytics | Python · TensorFlow · CatBoost · Databricks

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