Portfolio

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Steve Ward

Senior Project Manager | AI and Business Leader | IT Transformation Expert

Summary

Strategic technology leader with 20+ years managing complex IT projects at Fortune 100 companies including Dell, Boeing, and Honeywell. Recently completed University of Texas Post-Grad Program in AI and Machine Learning to bridge traditional IT expertise with cutting-edge AI applications. Specialized in translating business needs into technical solutions and leading cross-functional teams to deliver measurable results.

Project Management Skills:

Project Leadership, Strategic Planning, Cross-Functional Team Management, Client Relations, Budget Management

Portfolio

Anonymous X-ray for Covid-19 evaluation machine learning model

Computer Vision – Detect Covid-19 Cases from X-ray Imaging

Project: Image classifier to detect Covid-19 versus normal versus non-Covid virus.
Tools: Python + Numpy + Pandas + Tensorflow/Keras + Convolutional Neural Networks (CNN) + Adam Optimizer.
Outcome: Model result: accuracy: 0.9412

image of a car crash focused on a broken bumper of a blue car in the rain

Computer Vision – Predicting Crashes from Vehicle Dash Camera Videos (Nexar)

Project: Built and trained Convolutional Neural Network (CNN) model to predict car crashes from real world in vehicle dash cam video.
Tools: Python + CV2.

Dataset reference: Daniel C. Moura, Shizhan Zhu, and Orly Zvitia . Nexar Dashcam Collision Prediction Dataset and Challenge.  https://arxiv.org/abs/2503.03848, 2025.

A table for of small hardware components for boat electronic alert project

Automation – Boat Alerting System Prototype

Project: Device for alerting boat owners of critical conditions for batteries and high/low temperature. Two way communication logic between device and cell phone.
Tools/Technologies: Based on Arduino and C++ with 2G for data comms.
Outcome: cost effective alerting with low monthly subscritption. 

Image of a computer screen with a graph of stock market prices trending up and down.

NLP / LLMs – Stock Market News Sentiment Analysis

Project: LLM-based sentiment analysis to summarize stock market news.
Tools: transformers and prompt engineering, Python + Llama, GloVe.

Closeup image of credit card and card reader being held by someone

Neural Networks – Customer Churn Prediction

Project: Predicting credit card and bank customer churn.
Tools: Trained neural networks and ensemble models (random forest, boosting) to  Python + Adam + SMOTE + TensorFlow + SKLearn.

Two bankers in business suits shaking hands

Decision Trees – Personal Loan Campaign

Project: What products to offer existing banking clients.
Tools: Decision tree classifier.  Python + SKLearn + Gradient Boosting + Random Forest.

Americas Cup Data Visualization by Steve Ward Media showing racing sailboat paths on map

Data Analytics – Data Visualization

Sports/Racing
Project: America’s Cup sailing race data analytics and visualization.
For 2024 Americas Cup sailboat match between Team USA and Team New Zealand, used Python to extract positional data from massive 220MB JSON telemetry files provided by race authority. Mapped courses, speed, turn-by-turn speeds and more. 

Tools: Python + Pandas + Matplotlib/Seaborn/Plotly + Folium

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