Tara Kearney
About Tara Kearney
Tara Kearney is a Data Analyst currently employed at Vital in Auckland, New Zealand. She has a background in data science and computer science, with previous experience at Fingermark and Gourmet Direct Limited.
Work at Vital
Tara Kearney has been employed at Vital as a Data Analyst since 2022. In this role, she focuses on data analysis to support business objectives. Her responsibilities include utilizing machine learning techniques to predict potential outcomes for clients, which aids in strategic decision-making. Additionally, she applies her UX/UI skills to design internal tools that enhance data accuracy and improve overall company efficiency.
Previous Experience at Fingermark
Before joining Vital, Tara Kearney worked at Fingermark as a Data Scientist from 2019 to 2022. During her three years in Havelock North, Hawke’s Bay, New Zealand, she collaborated across various departments to ensure comprehensive data analysis and insights delivery. Her role involved both independent and collaborative project work, allowing her to adapt to the specific needs of each project.
Experience at Gourmet Direct Limited
Tara Kearney briefly worked at Gourmet Direct Limited as an Office Assistant in 2018. Her tenure lasted for one month in Gisborne & Hawkes Bay, New Zealand. This position provided her with foundational experience in an office environment, contributing to her overall professional development.
Education and Expertise
Tara Kearney studied at the Eastern Institute of Technology, where she pursued a degree in Computer Science with a focus on Information Systems from 2018 to 2020. This educational background equipped her with essential skills in data analysis and programming, which she applies in her current and previous roles.
Technical Skills and Projects
In her professional capacity, Tara Kearney has developed functional prototypes using HTML, CSS, and JavaScript. These prototypes bring design concepts to life, showcasing her technical skills in web development. Her expertise in machine learning further enhances her ability to deliver valuable insights and predictions for clients.