Lucas Dwyer is an Associate Data Science Analyst in Houston with seven years of analytical experience applying machine learning to real-world problems, currently modeling cyber insurance claims at Tokio Marine HCC. He blends rigorous academic training in ocean engineering and computer science with immersive data science training to deliver high-accuracy NLP and time-series models, including a 98%+ disinformation detector and COVID tweet-based forecasts. His interests span advanced probabilistic and interpretable methods—Bayesian neural nets, GANs, fuzzy logic, and game theory—paired with edge ML and explainability tools, positioning him to tackle opaque, high-stakes domains. Early experience as a cyber security lab TA and practical analyst roles give him an unusual mix of adversarial thinking and production-focused modeling.
7 years of coding experience
Data Science Immersive, Data Science Immersive at General Assembly
Bachelor of Science (B.S.), Ocean Engineering, Bachelor of Science (B.S.), Ocean Engineering at Texas A&M University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Texas A&M University-Corpus Christi
Production-Grade Container Scheduling and Management
Contributions:6 pushes in 2 months
containersschedulingdockergradeproduction-grade
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