Tiffany Callanan
About Tiffany Callanan
Tiffany Callanan is a Data Scientist III currently working at Cloudmed, an R1 company, where she has been employed since 2023. She has a diverse background in data science and analytics, with previous roles at various organizations including Seton Hall University, Deloitte, and JetSense.
Work at Cloudmed
Tiffany Callanan currently holds the position of Data Scientist III at Cloudmed, an R1 company, since 2023. She has previously worked at Cloudmed as a Data Scientist II from 2021 to 2023 and as a SQL Developer from 2019 to 2021. During her tenure, she has contributed to various initiatives, including leading AI enablement projects to enhance departmental efficiency and autonomy. Her work also involved developing a robust Model Management System for automated model retraining, ensuring that predictive models remain accurate and up to date.
Education and Expertise
Tiffany Callanan earned her Bachelor's degree in Honors Mathematics from Seton Hall University, where she studied from 2013 to 2017. She furthered her education by obtaining a Master of Science in Business Intelligence and Analytics from Saint Joseph's University in 2018. Her academic background equips her with strong analytical skills and knowledge in data science and business intelligence, which she has applied throughout her career in various roles.
Professional Background
Tiffany Callanan has a diverse professional background in data science and analytics. She began her career as a Sales Associate at Stride Rite from 2013 to 2015 and later worked as a Cashier at Dollar Tree Stores. She transitioned into data-focused roles, starting with an internship as a Human Resources Data Analyst at Prudential Center in 2016. Tiffany has held positions at JetSense.ai as a Data Scientist and Business Intelligence Analyst and worked at Deloitte Touche Tohmatsu LLC as an IT Operations Analyst in 2019.
Achievements in Data Science
Throughout her career, Tiffany Callanan has made significant contributions to data science projects. She developed a comprehensive LLM Internal Library for the application of Azure-hosted LLMs, optimizing both cost and speed. Additionally, she created a multi-model managed system for work driver prioritization, which stabilized business unit performance and increased revenue. Tiffany has also automated real-time endpoint deployment and implemented data drift model monitoring to maintain model performance.
Mentorship and Leadership
Tiffany Callanan has taken on mentorship roles, guiding junior data scientists in their professional development. She has designed and implemented systems for quality assurance checks, ensuring the reliability of deliverables. Her leadership in AI enablement initiatives has empowered different departments to utilize AI tools effectively, contributing to increased efficiency and accuracy across the organization.