Chris Simmerman Data Scientist

Chris Simmerman

Focused on production ML + LLM apps.

The Toro Company Georgia Tech OMSA

I build LLM/RAG applications and machine learning systems. I prioritize maintainability through strong evaluation, clear interfaces, and straightforward deployment patterns. I also explore digital humanities research, applying data science methods to historical texts and networks.

Chris Simmerman headshot

Skills

LLM / RAG Systems
RAG pipelinesRetrieval & rerankingPrompting & tool useLLM evaluation & guardrailsOpenAIAzure AI Search
Production ML / MLOps
Training → deployment workflowsMonitoring & drift checksExperimentation & model iterationCI/CD automationAzureAzure DevOps
Machine Learning
Supervised learningFeature engineeringImbalanced classificationHyperparameter tuningscikit-learnPyTorchXGBoost
Data & Analytics
PythonSQLData modelingTime series analysisVisualizationDashboards
NLP & Text Mining
Text preprocessingInformation extraction (NER)Embedding workflowsTopic modelingDocument similarityCorpus building
Digital Humanities
Historical text analysisNetwork analysisEntity linkingResearch workflowsSource tracking & reproducibility

Experience

The Toro Company — Remote
Data Scientist Mar 2024 — Present
Machine Learning and LLM-enabled internal applications.
Information Technology Intern May 2023 — Mar 2024
Data and software work supporting internal POCs and production data pipelines.

Education

Master of Science in Analytics (OMSA)
Georgia Institute of Technology — Remote
Expected Dec 2027
GPA: 4.0 Track: Computational Data Analytics
Selected Coursework
1 completed • 2 in progress
  • Computing for Data Analytics
  • Introduction to Analytics Modeling
  • Network Science
Bachelor of Science in Data Science, Minor in Applied Statistics
Metropolitan State University — Saint Paul, MN
May 2024
GPA: 3.52
Selected Coursework
6 completed
  • Analysis of Categorical Data
  • Analysis of Variance and Multivariate Analysis
  • Database Management Systems
  • Distributed and Cloud Computing
  • Machine Learning
  • Predictive Analytics
Honors
  • Sit Investment Associates academic scholarship recipient ($1,000)
  • 2x Dean's List Honoree
Associate of Science in Computer Science & Data Analytics
Normandale Community College — Bloomington, MN
May 2023
GPA: 3.61 Double Major
Selected Coursework
6 completed
  • Algorithms and Data Structures
  • Discrete Mathematics
  • Linear Algebra
  • Multivariable Calculus
  • Probability and Statistics with Calculus
  • Regression Analysis
Honors
  • National Science Foundation (NSF) PRISM scholarship recipient ($15,000)
  • Normandale Academy of Math & Science scholarship recipient ($3,000)
  • Kopp Family Presidential Scholarship recipient ($3,000)
  • Phi Theta Kappa Honor Society member
  • 4x Dean's List Honoree