Summary
Rachel F is a Finance Business Intelligence professional with nine years of experience blending financial expertise, analytics, and machine learning to turn large datasets into actionable business insights. Currently at Tesla, she pairs hands-on technical skills in Python, SQL, NoSQL, Tableau and Power BI with a strong background in accounting and tax from KPMG to deliver reliable BI models and dashboards. Her portfolio includes predictive tax models, visualization of US flight delays, and a self-driving smart cab project, reflecting an unusual mix of finance-driven use cases and applied ML. Trained in data science and machine learning through Udacity and grounded by a Master of Accountancy and BS in Accounting & Finance from UIUC, she navigates both detailed data work and strategic stakeholder communication. Outside of work she stays mentally agile through boxing, rock climbing and gaming, a balance that surfaces in her practical yet creative problem-solving.
9 years of coding experience
1 year of employment as a software developer
Data Analyst Nanodegree, Data Science, Data Analysis, Data Analyst Nanodegree, Data Science, Data Analysis at Udacity
Bachelor of Science (BS), Accounting and Finance, Bachelor of Science (BS), Accounting and Finance at University of Illinois at Urbana-Champaign - College of Business
University of Illinois Urbana-Champaign
Chinese, English