Hi, my name is
Kent Bourgoing
Data Scientist & AI/ML Engineer
UC Berkeley master’s graduate passionate about building data science and AI/ML systems for real-world impact.
About Me
I’m Kent Bourgoing, a recent UC Berkeley Master of Information and Data Science (MIDS) graduate and an engineering consultant at Yorke Engineering. I earned my undergraduate degree in Chemical Engineering from UCLA, which built a strong foundation in structured problem solving and quantitative thinking.
I’ve been interested in data science since undergrad, and the MIDS program reinforced how impactful it can be when applied to real problems. I enjoy turning messy, real-world data into models and tools that help teams make better decisions. I bring both technical execution and clear communication, shaped by consulting work where I partner with stakeholders to define the problem, communicate tradeoffs, and deliver results.
I’m currently pursuing entry-level roles in data science, machine learning engineering, and applied AI. Outside of work, I enjoy watching soccer, playing tennis, and exploring new cities through travel.
Technical Skills
Tools I use to build end-to-end data solutions, from analysis to production deployment.
Featured Projects
Projects ranging from statistical analysis and experiments to deployed AI/ML systems.
AI-Powered Legal Citation Analyzer
Client capstone with Wolters Kluwer: Agentic RAG system using Neo4j knowledge graphs and multi-LLM orchestration to automate legal precedent research.
English Text Detoxification System
Modular NLP system that rewrites toxic content into safe alternatives using explainability-driven masking and multi-objective reranking.
End-to-End ML API on AWS EKS
Production-grade ML inference API with Redis caching, Kubernetes HPA autoscaling, and Istio service mesh on AWS EKS.
Reducing Child Accident Risk
Randomized controlled field experiment quantifying causal effect of visual interventions on driver behavior in residential zones.
Flight Delay Prediction at Scale
Scalable ML pipeline on Databricks integrating 28M flights + 131M weather records with blocked time-series cross-validation.
Heart Failure Survival Prediction
Clinical ML system predicting patient survival using GMM-based synthetic augmentation and ensemble classifiers.
Atmospheric CO2 Forecasting
Time series analysis of Keeling Curve data with ARIMA/SARIMA modeling and 26-year forecast validation.
Labor Economics Analysis
Econometric analysis of 69K+ Census records quantifying the marginal return to work hours using log-linear regression.
Bay Area Delivery Optimization
Polyglot persistence architecture combining PostgreSQL analytics and Neo4j graph algorithms for last-mile delivery optimization.
Get in Touch
Have a question, opportunity, or collaboration in mind? Feel free to reach out.