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

Image classifier to detect Covid-19 versus normal versus non-Covid virus. Python + Numpy + Pandas + Tensorflow/Keras + Convolutional Neural Networks (CNN) + Adam Optimizer. 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)

Built and trained Convolutional Neural Network (CNN) model to predict car crashes from real world in vehicle dash cam video. 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

Self-funded project. Device for alerting boat owners of critical conditions for batteries and high/low temperature. Two way communication logic between device and cell phone. Based on Arduino and C++ with 2G for data comms.

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

NLP / LLMs – Stock Market News Sentiment Analysis

An LLM-based sentiment analysis system to analyze and summarize stock market news using transformers and prompt engineering. Python + Llama, GloVe.

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

Neural Networks – Customer Churn Prediction

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

Two bankers in business suits shaking hands

Decision Trees – Personal Loan Campaign

Decision tree classifier to identify potential bank loan customers based on key behavioral and demographic features. Python + SKLearn + Gradient Boosting + Random Forest.