Tashina Taylor
About Tashina Taylor
Tashina Taylor is a Data Scientist at Vorto, where she has worked since 2022. She has a diverse background in data analytics and geology, with previous roles in various companies including Sonoran Technology and Professional Services, Realm Engineering, and Liberty Oilfield Services.
Work at VORTO
Tashina Taylor has been employed at Vorto as a Data Scientist since 2022. In this role, she has contributed to various data-driven projects and initiatives. Prior to her current position, she worked at Vorto as a Data Analyst and Regional Operations Manager from 2022 to 2023. During her tenure, she led a team of 15, established over 50 key performance indicators (KPIs), and achieved a 100% retention rate. Her experience at Vorto highlights her expertise in data analytics and operational management.
Education and Expertise
Tashina Taylor holds a Master of Science in Data Analytics with a focus on Applied Statistics and Data Science from Oregon State University, where she studied from 2020 to 2023. She also has a Bachelor's degree in Geology, specializing in Micropaleontology and Electron Microscopy, from Humboldt State University. Additionally, she has completed studies in Natural Sciences at Shasta College and Lassen Community College. Her educational background provides a strong foundation for her work in data science and analytics.
Background in Data and Operations
Before joining Vorto, Tashina Taylor held various positions that contributed to her expertise in data analysis and operations. She worked as a Flight Scheduler at Sonoran Technology and Professional Services for three months in 2021. Additionally, she served as a Field Engineer II and Data Analyst at Liberty Oilfield Services in 2020. Her earlier experience includes roles as a Staff Geologist and SWPPP Trainee at Realm Engineering from 2016 to 2018, where she gained valuable skills in geology and data management.
Technical Skills and Achievements
Tashina Taylor has demonstrated significant technical proficiency in data analytics tools. She acquired full-stack proficiency in Looker in under three months, enhancing her capabilities in data model and dashboard development. She has re-configured and updated over 300 LookML and SQL-based derived tables, resulting in a 15% increase in database performance. Additionally, she implemented PDTs in Looker and configured the database server, achieving a 95% improvement in performance. Her contributions have led to the automation of over 50% of daily repetitive tasks for data analysts.