Elizabeth F.

Principal Data Scientist at Cytel

Elizabeth F. has a diverse range of work experience, starting with their current role as a Principal Data Scientist at Cytel. In this role, they are responsible for data mining, data management, statistical analyses, Shiny application development, and AI model creation and management for Takeda as a Senior Data Scientist.

Prior to their current role, Elizabeth worked at CorEvitas, LLC, where they held the positions of Biostatistician III and Biostatistician II. In these roles, they were involved in various statistical analyses and data interpretation.

Elizabeth also gained experience as a Biostatistician I at Mayo Clinic, where they were responsible for designing, analyzing, interpreting, and publishing clinical trial and study data. Elizabeth used various methodologies such as regression modeling, clustering, and machine learning techniques.

Earlier in their career, Elizabeth worked as a Data Engineer at randrr, where they utilized Python to model probability distributions and process workflows. Elizabeth also conducted data quality checks and performed feature extraction with text using techniques such as TFIDF, Word2Vec, and K-means clustering.

Elizabeth has additional experience as a Software Developer at BNL Consulting, where they created SAS applications and visualized client data. Elizabeth also worked as a Statistical Data Analyst at AutoPoint, a Solera Company, where they researched, modeled, and analyzed data to enhance client performance.

Prior to that, Elizabeth held the role of SQL Data Analyst at DMEautomotive, where they managed data and created reports for client recommendations. Elizabeth also worked as a QA Analyst Intern, where they created automated test scripts and manually tested client-facing applications.

Elizabeth began their career as an Automation Engineering Intern at Beeline.

Overall, Elizabeth F. has a strong background in data analysis, statistical modeling, and programming, with experience in various industries.

Elizabeth F. earned a Bachelor of Science (BS) degree in Statistics with a minor in Computer Science from the University of North Florida in 2014. Following that, they pursued a Master's degree in Statistics at the same university from 2015 to 2016.

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