Atticus Soane is a Senior Data Scientist with six years of hands-on experience building ML and deep learning solutions across NLP, computer vision, and large-scale data pipelines. Based in Walnut Creek, he has progressed through multiple technical roles at Bayer, where he designed production ingest pipelines (including PDF table extraction with OpenCV and spaCy) and advanced feature engineering using Pandas and PySpark. Comfortable across the Python ML stack—TensorFlow/Keras, scikit-learn, spaCy, NLTK—he pairs applied modeling with practical deployment experience from freelance and platform roles at Fiverr and a Machine Learning Engineering Fellowship. Trained in Financial Mathematics and Statistics at UC Santa Barbara, he brings a quantitative mindset to messy real-world data and a track record of customer-facing, production-grade solutions. Less obvious: he repeatedly moved between individual contributor and integrated team roles, demonstrating both deep technical craft and the ability to operationalize models in enterprise settings.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Financial Mathematics and Statistics, Bachelor of Science - BS, Financial Mathematics and Statistics at UC Santa Barbara
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.