About me
I grew up in Savannah, Georgia, and did both my undergrad and my MSBA at Emory University. I learn best by doing. When something’s new to me, I start messing with it, pull it apart and put it back together, and that’s how I approach data too.
Experience
Jan – May 2026
Data Science Practicum
Cox Automotive · Goizueta MSBA
Built a B2B customer churn model on a four-person team using an Explainable Boosting Machine with expanding-window temporal cross-validation, optimized for PR-AUC and top-decile lift. Findings informed account-management prioritization for at-risk customers.
Aug 2024 – May 2025
LLM Research Assistant
Emory University · AI/NLP Lab
Built a RAG system over FDA regulatory meeting documents, reaching ~80% retrieval accuracy through iterative chunking and embedding refinement. Collected and processed FDA advisory committee transcripts for an ongoing study on predicting medical product efficacy, engineering NLP features that quantify how the committees deliberate.
Aug 2024 – Present
Hackathon Operations Director
Emory Hacks · MLH-affiliated
Run end-to-end operations for Emory’s flagship hackathon: 208 participants from 35 universities and 40 projects in 2025, a $10K+ budget, and sponsorship tiers from $500 to $3,000.
May 2022 – May 2024
IT Consultant & Assistant Manager
Computer Networking Resources · Savannah, GA
Managed $100K+ in monthly procurement and supervised a team of nine, improving order processing times by 50% through restructured vendor communication. Assisted 100+ clients in manufacturing, legal, finance, and healthcare with computer and network issues.
Projects
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FDA efficacy prediction
2025
Predicting medical product efficacy from the quality of FDA advisory committee deliberations, using NLP features built from meeting transcripts.
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FDA regulatory RAG
2025
Retrieval-augmented generation over FDA meeting documents. About 80% retrieval accuracy after iterating on chunking and embeddings.
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LLM detection breaking
2026
Experimented against state-of-the-art AI-text detectors and found a consistent method that lowered detection rates by upwards of 21%.
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LLM jailbreaking experiments
2025
Tested jailbreak methods against frontier models, including GPT 4.1, Grok, Sonnet 4, and several image models.
Education
2025 – 2026
M.S. in Business Analytics
Emory University · Goizueta Business School
Machine Learning, Deep Learning, Causal Inference, Prescriptive Analytics, Statistics, Computational Linguistics, Big Data & Cloud Technologies, Economics of Digital Platforms
2021 – 2025
B.B.A., Information Systems & Operations Management
Emory University · Minor in Computer Informatics
Skills
- Languages & querying
- Python (pandas, scikit-learn, PyTorch, PySpark), R, SQL, Java
- ML & stats
- XGBoost, LightGBM, CatBoost, InterpretML (EBM), MLlib; causal inference (PSM, IPTW, IV, A/B testing); imbalanced classification (SMOTE, PR-AUC, threshold tuning)
- LLMs & NLP
- LangChain, LangGraph, Hugging Face, RAG pipelines, fine-tuning
- Data & cloud
- Snowflake, BigQuery, MySQL/AWS RDS, Spark/Hadoop, AWS, GCP, Azure, Tableau, Power BI