Anika Mukherjee

Anika Mukherjee

Senior Data Analyst @ Cover

About Anika Mukherjee

Anika Mukherjee is a Senior Data Analyst currently working at Cover in Toronto, Ontario. She has a strong background in data analysis and project management, with previous roles at the University of Ottawa, Privacy Analytics, and the Public Health Agency of Canada.

Current Role at Cover

Anika Mukherjee serves as a Senior Data Analyst at Cover, a position she has held since 2022. In this role, she is responsible for various data analysis tasks that support the company's objectives. She provides training to new project managers, contributing to the development of team capabilities and knowledge sharing within the organization.

Previous Experience in Data Analysis

Prior to her current role, Anika Mukherjee worked at Privacy Analytics as a Clinical Trials Transparency Project Manager from 2019 to 2021. During her tenure, she contributed to the successful delivery of over 80 clinical trials to pharmaceutical clients. She also held the position of Evaluation Analyst at the Public Health Agency of Canada for four months in 2017, where she developed an analysis tool for employee time tracking.

Academic Background in Health Sciences

Anika Mukherjee completed her Master of Science in Interdisciplinary Health Sciences at the University of Ottawa from 2016 to 2021. She also earned a Bachelor of Science in Biomedical Sciences from the same institution, studying from 2012 to 2016. Her academic background provides a strong foundation for her work in data analysis and health-related projects.

Teaching and Internship Experience

Anika Mukherjee has experience as a Teaching Assistant at the University of Ottawa from 2016 to 2020, where she supported students in their academic pursuits. Additionally, she completed a three-month internship as a Data Scientist at DESKI in Bordeaux, France, in 2017, gaining practical experience in data analysis and application.

Contributions to Conferences and Community

Anika Mukherjee has actively participated in global conferences on reproductive health and machine learning/data science, presenting in cities such as San Diego, Paris, Boston, London, and Ottawa. She has also improved team cohesion and employee wellbeing through event planning on social committees and student organizations at both Privacy Analytics and the University of Ottawa.

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