Donald Tucker
Industrial Engineer • Data Analyst
Empowering process improvement through data-informed insights.
Contact MeAbout 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 time series Anomaly detection.
📘 Currently reading: "Team of Teams: New Rules of Engagement for a Complex World", by Stanley McChrystal
If you have any awesome book recommendation please let me know :)
Skills
Technical levelSoftware
Languages and ApplicationsData Analysis
Analyze, clean, and visualize dataExploratory Data Analysis
80%Regression
75%Machine Learning
60%Data Viz
80%Time Series Forecasting
70%Industrial Engineering
LeanProcess Improvement, A3
85%Impact assessments
85%Metric Reporting
90%Capacity, Staffing Analysis
85%Line Balancing
85%Cost Forecasting
85%Precedence Network Analysis
85%Experience
My personal journeyMS Industrial Engineering
New Mexico State University
BS Industrial Engineering
University of Texas at El Paso
Industrial Engineer Mgr
Lockheed Martin- Aero, F35
Industrial Engineer Asc Mgr
Lockheed Martin- Aero, F35
Industrial Engineer Stf
Lockheed Martin- Aero, F35
Industrial Engineer Sr
Lockheed Martin- Aero, F35
Industrial Engineer
Lockheed Martin- Aero, F35
Industrial Engineer Asc
Lockheed Martin- Aero, F35
Operations Engineer Asc
Lockheed Martin- MFC, GMLRS
Accomplishments
Technical achievements
AI Fundamentals Practitioner Badge - Lockheed Martin
AI Fundamentals Skills Badge - Lockheed Martin
Google Advanced Data Analytics Certificate
Statistics and Probability for Python Skills Badge - Lockheed Martin
AI for Predictive Maintenance
LM21 Green Belt
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 graphNotebook
🌾 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. Visualizations include anomaly detection.
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 PyvisKaggle Notebook
Exploratory Data Analysis
Python EDA and data cleaning of store sales
Tableau dash visualizationJuypter Notebook
🏠 Housing Price Predictions
XGBoost Regressor predictions of housing prices
Tableau dash visualizationKaggle Notebook
more projects