Nick Raddatz Email & Phone Number

Remote

Developed artificial intelligence technology for influencer marketing products focusing on brand campaign optimization and influencer growth. Led a team of 3 data scientists and creating objectives and key results to help meet company goals. Spearheaded cross functional development of machine learning features from proof of concept to deployed models in established products.Selection of Accomplishments:- Created core audience analysis technology providing audience insights and optimizing advertising campaigns- Deployed creator performance tools using statistical analysis of historic data and LLMs to generate actionable insights- Improved predictions of YouTube video views reducing the mean absolute percentage error by 15% from the existing model- Produced multimodal proof of concept app retrieving relevant images and videos from natural language and/or images search queries- Implemented an app showing patterns in video structure, content, and style correlated with performance- Created and facilitated a weekly journal club to advance technical knowledge of data scientists

Researched and developed new technologies and products for health information software.Selection of Accomplishments:- Developed deep learning model to replace existing medical coding systems obtaining a 10+% performance increase over existing coding software- Invented semi-supervised framework to incorporate 10+ years of existing intellectual property with state-of-the-art deep learning technology for natural language understanding applications- Created machine learning tool to prioritize clinical documentation reviews leading to a 25% increase in review value- Received peer-nominated awards within division and business group for both individual and team technical contributions- Collaborated with Alphabet’s Verily on an analytics and management product improving patient care and hospital efficiency

Identified, researched, and implemented machine learning based solutions for internal retail business units.Selection of Accomplishments:- Applied hierarchical machine learning to paid search improving advertisement targeting by 20%- Identified over 500 underperforming promotions with natural language processing and fuzzy matching- Constructed statistical models to measure advertisement impact on customer sales increasing sales attribution accuracy by 15%- Forwarded development of price optimization product resulting in 4% revenue lift

Doctor Of Philosophy (Ph.D.), Physics

Bachelor Of Science (B.S.), Nuclear Engineering And Physics