Kathryn San Miguel

Data Scientist @ Victory Capital

About Kathryn San Miguel

Kathryn San Miguel is a Data Scientist currently employed at Victory Capital in San Antonio, Texas. She has a background in biology and data science, having previously worked at CyberFortress and the University Health System.

Work at Victory Capital

Kathryn San Miguel has been employed at Victory Capital as a Data Scientist since 2021. In this role, she applies her expertise in data analysis and interpretation to support the company's financial services. Her work contributes to the development of data-driven strategies that enhance operational efficiency and decision-making processes within the organization. Kathryn's position is based in San Antonio, Texas, where she continues to advance her skills in the data science field.

Previous Experience at CyberFortress

Before joining Victory Capital, Kathryn San Miguel worked as a Data Scientist at CyberFortress from 2019 to 2021. During her two years at the company, she focused on leveraging data to improve cybersecurity solutions. Her role involved analyzing complex datasets to identify trends and develop insights that informed the company's strategies in the cybersecurity domain. This experience helped her build a strong foundation in data science applications.

Background in Healthcare Technology

Kathryn San Miguel served as a Histocompatibility Technologist at University Health System from 2015 to 2019. In this position, she was responsible for conducting tests and analyses related to organ transplantation compatibility. Her four years in this role provided her with a solid background in laboratory techniques and data management within the healthcare sector, enhancing her analytical skills and attention to detail.

Education and Expertise

Kathryn San Miguel earned a Bachelor of Science in Biology from St. Mary's University, where she studied from 2010 to 2014. Following her undergraduate education, she pursued further training in data science at Codeup, completing a Certificate of Completion in 2019 after an 11-month program. This combination of biology and data science education equips her with a unique perspective in her current data-driven roles.

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