Summary
Daniel Tucker is a Senior Data Analyst with 8 years of experience turning messy data into actionable business outcomes across meal-kit, food-tech, and marketplace businesses. He has repeatedly served as the sole or founding data scientist at companies, building end-to-end forecasting, demand-planning, and production ML pipelines using Python, DBT, Snowpark/Snowflake, and GenAI integrations to directly inform Operations, Finance, and Marketing. Daniel pairs a rigorous academic background in linguistics (PhD-level work on multilingual corpora and experimental design) with practical product delivery—shipping recommendation systems, LTV/churn models, and automated review summarization into production. He’s adept at replacing spreadsheet processes with tested, automated pipelines and at surfacing predictions and summaries to non-technical leaders. Based in Chicago, he brings an interdisciplinary mindset—combining language modeling expertise and real-world forecasting—to help teams scale data-driven decisions.
8 years of coding experience
7 years of employment as a software developer
Master of Arts (M.A.) Applied Linguistics, Master of Arts (M.A.) Applied Linguistics at Southern Illinois University, Carbondale
Doctor of Philosophy (Ph.D.) Linguistics, Doctor of Philosophy (Ph.D.) Linguistics at Northwestern University
Bachelor of Arts (B.A.) Foreign Languages, Bachelor of Arts (B.A.) Foreign Languages at Eastern Illinois University
English, Hindi, Spanish, koine greek, classical latin, German, ecclesiastical latin, Portuguese, French, Italian, classical syriac, coptic, Chinese, Galician, python, r, javascript