Summary
Andrew Henry is a Data Scientist II with eight years of experience applying machine learning and analytics to marketing and customer analytics problems, currently driving data-driven insight at Cision from West Palm Beach. He blends hands-on expertise in Python, PyTorch, TensorFlow and AWS with practical data modeling on DynamoDB, Redshift and S3 to deliver production-ready solutions like churn prediction, customer segmentation and A/B testing frameworks. A seasoned competitor on platforms like Kaggle and DrivenData, he has tackled real-world challenges from satellite image understanding to forecasting and credit risk, and contributed as a technical reviewer on ML content including PyTorch and TensorFlow. Beyond experiments, he has collaborated on AI-for-good projects with Omdena and holds specialized Nanodegrees in Deep Learning and Data Engineering, giving him both research curiosity and engineering rigor.
8 years of coding experience
4 years of employment as a software developer
Practical Data Science Specialization, Practical Data Science Specialization at Coursera
Data Engineering Nanodegree, Data Engineering Nanodegree at Udacity
Data Scientist With Python Track/ Data Analyst With Python Track/ Marketing Analytics, Data Scientist With Python Track/ Data Analyst With Python Track/ Marketing Analytics at DataCamp
Intermediate Data Science: Python, Intermediate Data Science: Python at Springboard
English, Spanish