Catherine Nazareth

Catherine Nazareth

Data Analyst @ Dialpad

About Catherine Nazareth

Catherine Nazareth is a Data Analyst at Dialpad in San Francisco, California, where she has worked since 2018. She has a background in various research and analytical roles, including positions at Agriculture and Agri-food Canada and Accuvit.

Work at Dialpad

Catherine Nazareth has been employed at Dialpad as a Data Analyst since 2018. In this role, she conducts quality assurance on data models to ensure accurate identification of key moments in conversations. She has developed a training manual for Automatic Speech Recognition transcription and proposes new metrics specifically for analyzing conversations. Her work contributes to enhancing the effectiveness of Dialpad's communication analytics.

Previous Experience

Before joining Dialpad, Catherine held several positions that contributed to her expertise in data analysis. She worked as a Data Analyst at Accuvit from 2017 to 2018 and gained experience as a Research Assistant at Agriculture and Agri-food Canada in 2011. Additionally, she served as a Labwrench Researcher and Editor at Labx Media Group in 2011, and as a Molecular Biology Research Technician at the Public Health Agency of Canada in 2013. Her diverse background includes roles in marketing, sales, and research and development.

Education and Expertise

Catherine Nazareth earned her Bachelor's degree in Biology from the University of Waterloo, where she studied from 2009 to 2014. Her educational background provides a strong foundation for her analytical skills and understanding of data in various contexts. This academic experience supports her current role in data analysis at Dialpad.

Professional Development

Throughout her career, Catherine has engaged in various roles that have enhanced her professional development. She worked as a Sales Development Representative at Nicoya Lifesciences from 2016 to 2017 and held a position at The Working Centre from 2015 to 2016. These experiences have contributed to her skills in data analysis and her ability to implement effective metrics for conversation analysis.

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