Summary
Daniel Adayev is a data-focused community and marketing operations professional with a Cornell BS in Human Development and about a year of formal experience in roles spanning marketing automation, operations, and community advocacy. He has built data pipelines, lead scoring models, and analytics visualizations using tools like DBT, Salesforce, Marketo, and custom Python scripts to automate enrichment and ETL-like workflows. At Tabsdata he combines technical content, onboarding, and live demos to drive product adoption, drawing on prior experience optimizing attribution and CRM routing at Prefect and StreamSets. He pairs quantitative rigor with customer empathy—evident from early work automating image-error detection at Victoria’s Secret and running user research at startups—and runs a headshot photography business in his spare time. Based in Philomath, Oregon, he brings a practical blend of analytics, automation, and community engagement aimed at helping data teams get measurable value from their tools.
1 year of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Human Development, Bachelor of Science - BS Human Development at Cornell University