Joshua Hyatt

I am a pragmatic and results-oriented Data Scientist with over 10 years of experience across the automotive, finance, and education sectors, delivering production-grade machine learning solutions. Passionate about solving real-world problems using statistical modeling, computer vision, and NLP. Proven ability to lead cross-functional projects, to design and implement robust MLOps pipelines using Databricks, Docker, and CI/CD best practices. I’m adept at working in collaborative environments and translating complex data into strategic business outcomes.

Professional Experience

%%{init: {'theme':'neutral'}}%%
gantt
  dateFormat YYYY-MM
  axisformat %y
  section Education
    Bachelor                :done, e1, 2007-08, 4y
    Masters                 :done, e2, after e1, 2y
  section Work Experience
    University of Tennessee :done, w0, after e1, 2y
    Pellissippi State       :done, w1, after e2, 2y
    Elavon                  :done, w2, after w1, 3y
    DENSO                   :active, w3, after w2, 8.5y

Data Scientist III

DENSO International America, INC. Maryville, TN July 2018 – Present

• Architected and deployed predictive maintenance systems for critical manufacturing components using vibration analytics and time-to-failure modeling, mitigating ~396 hours of annual downtime and delivering $178K+ in documented cost avoidance.
• Built end-to-end computer vision defect detection pipelines using segmentation-based CNNs and convolutional autoencoders; deployed containerized Flask APIs integrated with robotic process control (OPCUA), contributing to $1.2M+ in operational impact.
• Led enterprise Databricks implementation for time-series analytics and ML workloads, leveraging MLflow, Unity Catalog, and automated data quality pipelines for governed model lifecycle management.
• Designed and implemented CI/CD pipelines (Azure DevOps, GitLab) to automate testing, validation, containerization, and deployment of ML models and API endpoints to production environments.
• Developed NLP solutions using sentence embeddings and UMAP clustering to structure unstandardized procurement data, improving spend visibility and identifying $75K+ in cost avoidance opportunities.
• Contributed to development of a tariff rules engine supporting real-time and scenario-based analysis, enabling data-driven strategy with reported impact exceeding $140M.
• Collaborated with MIT to model supply chain resilience using Gurobi optimization and GIS datasets, informing disaster risk mitigation and scenario planning.
• Architected and deployed an Enterprise CI/CD pipeline with Azure Devops and Databricks, to automate testing and deployment of ML applications
• Mentored and led junior data scientists in production ML delivery, establishing standardized experiment tracking, CI/CD workflows, and deployment practices.

Business Analyst II ← DBA ← Fraud Analyst

Elavon Knoxville, TN Nov 2015 – July 2018

• Improved fraud detection accuracy and work queue triage, resulting in an additional $200K in annual fraud prevention.
• Built a web scraping tool that halved account investigation time, with estimated annual savings between $25K–$50K.
• Founded and led the Dedicated Solutions Team to automate reporting and data quality monitoring for internal business units.
• Recognised with the Pinnacle Award (top 10% company-wide performance) in 2016.

Adjunct Mathematics Professor

Pellissippi State Community College Knoxville, TN Aug 2013 – Nov 2015

• Taught Statistics, Algebra, and Business Calculus, supporting diverse learners and maintaining strong student outcomes.

Education

Masters of Science in Mathematics

University of Tennessee - Knoxville, TN
GPA: 3.97/4.0

Bachelor of Science in Mathematics

Murray State University - Murray, KY
GPA: 3.81/4.0

Skills

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mindmap
  root((Skills))
    Machine Learning and AI
      Supervised & Unsupervised Leaening
      Anomaly Detection
      Natural Language Processing
      Computer Vision
      Optimization & Simulation
    Programming and Frameworks
      Python
      Bash
      SQL
      Spark
      MLOps
    Data and BI Tools
      DOMO
      Tableau
      Data Modeling
      Feature Engineering
    Platforms and Infrastructure
      Databricks
      Gitlab CI/CD
      Azure Cloud
      Azure Devops
      Linux
    Collaberation and Leadership
      Agile and Scrum
      Technical Mentorship
      Cross Functional Communication/Leadership

Detailed Skills

Machine Learning & AI

• Supervised & Unsupervised Learning, Time Series Forecasting
• Anomaly Detection (Autoencoders, One-Class SVM, LOF, PCA)
• Natural Language Processing (Sentence & Word Embeddings, NER, Sentiment Analysis)
• Computer Vision (CNNs, U-Net, Image Embeddings)
• Optimization & Simulation (Gurobi, SEIR & Scenario Modeling)

Programming & Frameworks

• Python (NumPy, Pandas, SciPy, NLTK, SQLAlchemy, Scikit-learn, TensorFlow, UMAP, XGBoost)
• SQL, Bash, Spark (PySpark)
• MLOps & DevOps (Git, CI/CD, Docker, MLflow, Pytest)

Data & BI Tools

• SQL (PostgreSQL, MSSQL, Cassandra)
• DOMO, Tableau, Jupyter Notebooks, Quarto
• Data Modeling, Feature Engineering, Data Wrangling

Platforms & Infrastructure

• Databricks (Jobs, Pipelines, Workspace Administration, Repos, Unity Catalog, Vector Stores, Workspace Admin)
• GitLab (Runners, CI/CD Pipelines)
• Azure Cloud & Azure DevOps
• Linux (Command Line, Scripting), REST API Deployment and Model Serving

Collaboration & Leadership

• Agile & Scrum Delivery
• Technical Mentorship & Curriculum Development
• Cross-Functional Communication (Business, Engineering, Executives Stakeholders)
• Documentation & Reproducibility & ML Governance Practices