Summary
Thomas Cottrell is a Principal Business-Data Analyst in San Francisco who blends business analysis, sales enablement (HPT), and data science to accelerate revenue and improve customer support. He has led KPI strategy, ETL and dashboarding efforts for startups and enterprises—helping a SaaS client exceed sales ramp targets by 38% and cutting Tesla’s sales costs by $12M annually through agile process redesign. Comfortable across SQL, BigQuery, Tableau, Power BI, Python and SAS, he translates messy operational data into executive-ready insights and onboarding programs that measurably reduce time-to-competency. A former Tesla and SolarCity consultant, he pairs hands-on field experience with data-driven failure analysis (reducing a product line failure rate from 110% to <10%) and is pursuing a transition into data science informed by UC Berkeley analytics coursework.
6 years of coding experience
Certification in Data Analytics Data Sciences and Machine Learning, Certification in Data Analytics Data Sciences and Machine Learning at University of California, Berkeley
ASET Electrical and Electronics Engineering, ASET Electrical and Electronics Engineering at University of Silicon Valley