Daniel Ball Hellmuth

Data Scientist @Noan

Berlin, DE

Designed and deployed AI-powered product features, including fact validation, knowledge extraction, and network intelligence models to enhance decision-making and content accuracy> Built end-to-end ML pipelines translating unstructured business data into structured, actionable insights used across the platform> Owned product analytics, developing KPI frameworks and dashboards to track activation, engagement, retention, and feature adoption> Conducted deep user behaviour analysis (EDA, clustering, segmentation) to refine ICP, identify growth opportunities, and reduce churn risk> Delivered data-driven insights and metrics to support investor reporting and product positioning> Developed growth workflows to identify high-value leads, segment users, and improve trial-to-paid conversion through targeted outreach> Created and optimised CRM datasets for personalised marketing and sales campaigns> Supported lifecycle optimisation by identifying and activating high-potential users during critical conversion windows> Defined and structured business knowledge (facts, taxonomies, ontology) to improve AI output quality and product intelligence> Acted as a power user and internal product driver, identifying feature gaps, improving adoption, and translating insights into product improvements> Collaborated directly with leadership to shape growth strategy, content direction, and product positioning

University of the West of England

BA Hons, Business Administration

Masterschool

Data Analytics