William Rogers

William Rogers MSc.

About Me:

I'm a Data Analyst/Data Scientist with more than a decade of working with data. I have skills in creating data visualization using different types of tools such as PowerBI, Tableau, ggplot2 in R, and Matplotlib in Python. I have experience doing classical machine learning using tabular data, as well as feature extraction for signals and images. Additionally, I've built state-of-the-art methods deep learning models around medical imaging data.

Education:

• Masters - Data Analytics at University of Technology, Sydney
• Graduate - Diploma Computer Science at Central Queensland University
• Associate of Arts Liberal Arts at Linn-Benton Community College

Relevant Experience:

• Data Scientist at Maastricht University:
• Implemented an object detection model for indeterminate pulmonary nodules to assist researchers and radiologists with annotating data.
• Engineered a deep learning-based slice interpolation model.
• Created an auto-regressive model to generate synthetic data.
• Developed a library for extracting texture features from images.
• Created a new image quality assessment model with explainability.
• Data Analyst at HealthDirect in Sydney Australia:
• Updated existing excel spreadsheets.
• Automated existing processes using Python and SQL.
• Converted visualizations to PowerBI dashboards.
• Designed and created new data visualizations and dashboards.

Skills:

• Languages - Python, Java, SQL
• Python - SciPy, NumPy, Pandas, OpenCV, Scikit-image, Scikit-learn, TensorFlow, Keras, PyTorch, PyRadiomics, SimpleITK
• Machine Learning - Linear models, SVM, Ensembles
• Generative - GANs, PixelCNN, VQVAE
• CNN - Classifiers, Faster R-CNN, U-Net
• Transformer - GPT2, ViT
• Data Visualization - Matplotlib, PowerBI, Tableau
• Additional - Git, Docker, wrangling & preprocessing