About Taylor Facen
I'm a data enthusiast who's believes the right data operations can take an organization from good to great. I'm interested in data science, analytics, decision intelligence and everything in between. I am also a proud graduate of Howard University, MIT LGO, and OnDeck Fellows #ODC1.
Currently
AngelList Venture
Product data analyst building out the company's analytics infrastructure across different business lines
Skills
Data
Analytics, SQL, Data Science
Programming
Python, JavaScript, Database Design
Product
MVP Planning, Event Analytics, Product Strategy
Operations
Systems, Process Flow, Cross-Team Integrations
Project Management
Special Projects, Stakeholder Management, Managing Deadlines
Communication
Presentations, Public Speaking, Documentation
Previously
Data Intern
July 2021 — December 2021
- Revamped reporting for operations and sales team to reflect new sales workflow
- Developed dbt modeling for new datasets
- Implemented suite of automated tests to improve data quality
Venture GM Intern
Jan 2021 — May 2021
- Led qualitative and quantitative research to gain insight on industries and new market opportunities
- Performed due diligence on business concepts, models, markets, risks, and other considerations for new companies
- Worked with product team on MVP development, user testing, and product launch
Freeman Capital
Fintech startup focusing on providing everyday people with access to active wealth management
View Website
Chief Technology Officer
June 2018 — May 2020
- Designed and launched MVP website and application
- Led a team of 10 engineers, designers, testers, and other technology professionals
- Created and communicated short- and long-term technology goals with shareholders
Research Analytics, Associate Officer
Jan 2018 — April 2020
- Directed the transition from static reports to dynamic querying tools to more efficiently provide insights to the salesforce
- Piloted the first summer Python training program for associates in offices across the U.S., Asia, and U.K.
- Designed the data pipeline strategy consisting of data acquisition, storage, cleaning, analysis, and reporting technologies