Nicholas W is a data-driven Digital Marketing Data Analyst with nine years of experience blending physics-backed analytical rigor and practical data engineering to help e-commerce and marketing teams turn messy signals into actionable insights. Skilled in Python, SQL (BigQuery), dbt, Looker Studio and ETL development, he has built customer-facing dashboards, bespoke metrics, and production-ready models while onboarding clients and new hires. His background in astrophysics and work detecting fast radio bursts reveal a comfort with large, noisy datasets and creative signal detection that informs his approach to marketing analytics. A Flatiron Data Science grad who progressed through hands-on lab and engineering roles, he pairs deep quantitative foundations with clear science communication to make complex analytics accessible to stakeholders. Currently driving digital marketing analytics at Penske and SourceMedium, he focuses on practical ML, robust data pipelines, and visualization that directly improve business decisions.
9 years of coding experience
5 years of employment as a software developer
Data Science, Data Science at Flatiron School
Bachelor of Science (BS), Physics and Astronomy, Bachelor of Science (BS), Physics and Astronomy at University of Pittsburgh
Speech Emotion Recognition - Flatiron School Capstone Project
Contributions:154 commits, 114 PRs, 83 pushes in 1 month
emotion-recognitionspeech
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.