Donald Tucker

Industrial Engineer • Data Analyst

Empowering process improvement through data-informed insights.

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About Me

Introduction

I am an Industrial Engineer with manufacturing and team leadership experience. Expertise in harnessing data analysis, machine learning, and lean principles to drive significant process improvements and operational efficiency. Led teams of up to 20 engineers, implemented AI/ML solutions reducing forecasting errors, and cost-saving initiatives. Skilled in data visualization (Tableau, Power BI), statistical analysis, and communicating insights across cross-functional teams to enable data informed decisions.

📝 I'm currently learning NLP with Tensorflow.

📘 Currently reading: "Mastering the Data Paradox", by Ninth Seth

15+ Years
experience
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Skills

Technical level

Software

Languages and Applications

Python

75%

SQL

75%

Excel

90%

HTML

50%

CSS

30%

Tableau

75%

Business Objects

80%
more

Data Analysis

Analyze, clean, and visualize data

Exploratory Data Analysis

80%

Regression

75%

Machine Learning

60%

Data Viz

80%

Time Series Forecasting

70%
more

Industrial Engineering

Lean

Process Improvement, A3

85%

Impact assessments

85%

Metric Reporting

90%

Capacity, Staffing Analysis

85%

Line Balancing

85%

Cost Forecasting

85%

Precedence Network Analysis

85%
more
Skills Diagram (click and drag nodes to explore)
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Experience

My personal journey
Education
Work

MS Industrial Engineering

NMSU New Mexico State University
2012

BS Industrial Engineering

UTEP University of Texas at El Paso
2008

Industrial Engineer Mgr

LM Lockheed Martin- Aero, F35
11/2022 - Present
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Industrial Engineer Mgr

  • Manager leading a team of 17-23 Industrial Engineers to develop metrics, data analytics, process improvement opportunities, resources allocation, and constraint mitigation plans.

  • • Implemented AI/ML Capstone Project forecasting production spans, reduced error from 2 months to 2 days using XGBoost
    • • LM AI Practitioner Badge
  • • Cost and Schedule Impact analysis
  • • Implemented a ML RandomForest prediction on aircraft percent complete visualized in Tableau using SQL

Industrial Engineer Asc Mgr

LM Lockheed Martin- Aero, F35
10/2019 - 10/2022
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Industrial Engineer Asc Mgr

  • IE Asc Manager leading a team of 8-12 Production Floor Industrial Engineers, working to enhance production efficiencies, develop metrics, and implementing data-driven process improvements while collaborating with various production support functions.

  • • Guided the team to implement large rate modification project
  • • Led team to transition production metrics to Tableau solutions

Industrial Engineer Stf

LM Lockheed Martin- Aero, F35
10/2017 - 10/2019
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Industrial Engineer Stf

  • Industrial Engineer Team Technical Lead role involves leading the integration of functional IE solutions by analyzing and developing production plans, estimating production impacts, creating production health metrics, and mentoring while coordinating with cross functional support teams.

  • • Implemented crew cycling, transitioned from rate station
  • • Capacity Analysis
  • • Impact Assessments

Industrial Engineer Sr

LM Lockheed Martin- Aero, F35
8/2015 - 10/2017
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Industrial Engineer Sr

  • Industrial Engineer role optimizing plant efficiency by integrating IE solutions, developing production plans, creating production health metrics, and collaborating with teams.


Industrial Engineer

LM Lockheed Martin- Aero, F35
3/2014 - 8/2015
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Industrial Engineer

  • Industrial Engineer role optimizing plant efficiency by integrating IE solutions, developing production plans, creating production health metrics, and collaborating with teams.


Industrial Engineer Asc

LM Lockheed Martin- Aero, F35
9/2012 - 3/2014
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Industrial Engineer Asc

  • Industrial Engineer role optimizing plant efficiency by integrating IE solutions, developing production plans, creating production health metrics, and collaborating with teams.


Operations Engineer Asc

LM Lockheed Martin- MFC, GMLRS
1/2009 - 8/2012
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Operations Engineer Asc

  • OE role implementing process improvement, cost savings estimates, optimizing floor space layout, and designing ergonomic workstations layouts and tool aids. Time motion studies, performance reporting, and simulation modeling of material flow are also key responsibilities.


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Accomplishments

Technical achievements

AI Fundamentals Practitioner Badge - Lockheed Martin

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AI Fundamentals Practitioner Badge

  • Random Forest and XGBoost Regressor Capstone Project

  • Artificial Intelligence

  • Machine Learning

  • Hyperparameter Tuning

  • Model Selection


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AI Fundamentals Skills Badge - Lockheed Martin

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AI Fundamentals Skills Badge

  • regression

  • classification

  • natural language processing

  • clustering


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Google Advanced Data Analytics Certificate

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Google Advanced Data Analytics Certificate

  • exploratory data analysis

  • regression models

  • predictive models

  • data visualizations


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Statistics and Probability for Python Skills Badge - Lockheed Martin

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Statistics and Probability for Python Skills Badge

  • distributions

  • hypothesis testing

  • probability


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AI for Predictive Maintenance

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AI for Predictive Maintenance NVIDIA

  • XGBoost on Time Series

  • LSTM on Time Series

  • Time to Failures

  • Autoencoder for Anomaly Detection


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LM21 Green Belt

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Lockheed Martin LM21 Green Belt

  • Lean Six Sigma

  • DMAIC

  • Process Mapping

  • Data Analysis and Statistical Tools

  • Resource Planning

  • PDCA A3 Problem Solving

Portfolio

Recent projects

Machine Learning Prediction

Random Forest and XGBoost classification model python predictions of survival on a fictitious spacecraft

Check out my notebook

Kaggle Notebook

Linear Programming Optimization

Rebalance 100 students on 7 teams into 5 new teams of different sizes, using Linear Programming to minimize the difference between the avg team score. Making the teams as balanced as possible.


Summary

Multi-Target Regression Model

Forecasting product completion times using multi-output regression. Machine learning model output visualized in Tableau


Tableau Viz

Critical Path Identification

Identifying the critical path in a network, along with the critical path length

View the network graph
Notebook

🌾 Crop Classification and Clustering Model

Crop classification and clustering model built to recommend which farm crop to plant based on soil characteristics.

Check out my code

Notebook

2 Sample Hypothesis T-test

Utilizing hypothesis testing t-tests to validate process improvements initiatives. Created a template and custom p-value function to interpret the results of the hypothesis tests.

Check out my code

Notebook

NLP Tweet Classification

Binary classification model to determine if tweets are about disaters or not. Uses a TensorFlow Hub pretrained sentence encoder, USE, in a Sequential Model.

Kaggle Notebook

Relational Networks

Visualizing Captain America in the Marvel Character Universe

Hosted Network Diagram in Pyvis
Kaggle Notebook

Exploratory Data Analysis

Python EDA and data cleaning of store sales

Tableau dash visualization
Juypter Notebook

🏠 Housing Price Predictions

XGBoost Regressor predictions of housing prices

Tableau dash visualization
Kaggle Notebook



more projects

Contact Me

Get in touch, send feedback

Email

Location

US

Connect

LinkedIn