Manufacturing · Data · Applied AI

Shane Keel

Senior Equipment Engineer Data Scientist

15+ years turning manufacturing data into decisions. Now applying it to data science and AI/ML.

Background

About

I’m a Senior Equipment Engineer with 15+ years in manufacturing, process improvement, automation, quality systems, and capital projects. I’m expanding that foundation into data science and AI/ML through TripleTen, studying Python, statistics, machine learning, and applied AI. I’m also an Army veteran.

Capabilities

Skills

Data & Analytics

PythonData AnalysisEDAStatistical AnalysisSPCMinitabExcel

Engineering

Process ImprovementRoot Cause AnalysisFMEAMSAIQ/OQ/PQ Validation

Automation & Tools

RoboticsLadder LogicSolidWorksAutodesk InventorAutoCADPolyWorks

Project Management

Capital ProjectsMS ProjectProcurementVendor SelectionBudgeting

Selected work

Projects

Examples of applying structured analysis to practical engineering questions.

Measurement System Analysis: Brake Force Testing

Problem: Understand accuracy, linearity, and sources of variation in a brake force test method.

Approach: Evaluated accuracy and linearity and built an ANOVA variance decomposition.

Result: The analysis showed the test method, rather than the gauge, drove most repeat variation.

PythonpandasSciPymatplotlib
View on GitHub (soon)

Process Data Analysis: Torque Angle (DMAIC)

Problem: Investigate variation and stability in production torque-angle behavior.

Approach: Analyzed production records using exploratory plots, nonparametric tests, and bootstrapping.

Result: Identified bimodal behavior, machine-to-machine offset, and process drift.

PythonpandasmatplotlibNonparametric testsBootstrapping
View on GitHub (soon)

Equipment Validation: Alignment System

Problem: Establish confidence in new alignment equipment before production use.

Approach: Validated the new system against existing production systems using MSA and statistical methods.

Result: Documented comparative system performance to support validation decisions.

MSAStatistics
View on GitHub (soon)

In progress

TripleTen ML Project (coming soon)

Applied machine learning project details will be added as coursework progresses.

In progress

TripleTen ML Project (coming soon)

More data science and AI/ML work will be shared here soon.

Career

Experience

  1. Senior Equipment Engineer

    Honda of America, LLC · East Liberty, OH · Oct 2023 – Present

    • Lead end-of-line equipment validation in Vehicle Quality, including IQ/OQ/PQ and MSA.
    • Analyze high-volume process data using SPC to drive corrective and preventive action.
    • Manage capital equipment projects from scope through commissioning.
    • Develop Python scripts for data monitoring and process analysis.
  2. Capital Project Engineer

    Prospira America Corporation · Upper Sandusky, OH · May 2022 – Oct 2023

    • Managed capital equipment projects as the sole project engineer.
    • Led vendor selection and procurement for custom automation equipment.
    • Built scopes, schedules, and budgets; led cross-functional design reviews.
  3. Manufacturing Engineering Technician

    Bridgestone APM · Upper Sandusky, OH · Jul 2011 – May 2022

    • Supported mechanical, pneumatic, and hydraulic production systems.
    • Led root cause analysis and engineering trials for new molds and materials.
    • Developed training materials, SOPs, and technical documentation.

Learning

Education & Certifications

AI & Machine Learning Bootcamp

TripleTen · In Progress
Python, statistics, ML, neural networks, computer vision, NLP, LLMs, MLOps, and cloud deployment.

BS, Engineering Technology

DeVry University · 2025

AAS, Mechanical Engineering

Marion Technical College · 2023

Lean Six Sigma Green Belt

Aveta Business Institute

Service

Military Service

Ohio Army National Guard

Infantry Fire Team Leader (11B) · 2003–2009
Iraq deployment (2006); Hurricane Katrina search and rescue (2005).

Get in touch

Contact

Interested in connecting about data science, AI/ML, or engineering? Reach out.