I'm a Data Scientist and Analytics professional with 3+ years of experience building end-to-end data solutions in the healthcare and biotech space. Currently at Syneos Health, I work across the full analytics stack from PySpark ETL pipelines and Snowflake data models to RAG systems, LLM-powered automation, and Power BI dashboards that go in front of 100+ stakeholders. My work has spanned clinical trial optimization, patient burden scoring, diversity analytics, and medical ontology mapping (ICD-10, SNOMED, MeSH) areas where the data is messy, the stakes are high, and clean thinking matters a lot. On the AI/ML side, I've built production RAG pipelines using LangChain and GPT models that reduced manual processing by 95%, and embedding-based record linkage systems that eliminated weeks of human effort per month. I'm a Kaggle Notebook Expert and someone who genuinely enjoys the craft of turning ambiguous problems into reliable, reproducible pipelines. I'm open to conversations around: breaking into data science, transitioning into healthcare analytics, building RAG/LLM applications, navigating early-career data roles, or just talking through a tricky technical problem you're stuck on. If any of that sounds useful — let's talk.