Eman A.
Senior Data Scientist @HOOPP (Healthcare of Ontario Pension Plan)
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WORK HISTORY
Senior Data Scientist @HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON, CA
As a Senior Data Scientist at HOOPP, I play a critical role in driving data-informed decision-making across the organization.I\'ve partnered with stakeholders in Member Services, Employer Services, Product Development, Risk, and Technology to develop advanced analytics solutions that unlock insights, optimize processes, and support strategic initiatives. My deep technical expertise, business acumen, and collaborative mindset has helped HOOPP continue to innovate and deliver exceptional value to our members.Key Responsibilities:Design, develop, and deploy advanced machine learning models, statistical analyses, and AI solutions to solve complex business problems across the organization.Lead end-to-end data science projects, from problem framing and data exploration to model development, validation, and operationalization.Collaborate closely with cross-functional teams to identify analytical opportunities, translate business needs into data-driven solutions, and communicate findings clearly to both technical and non-technical stakeholders.Mentor and coach junior data scientists and analysts, providing technical guidance and sharing best practices.Contribute to the development of data governance, model risk management, and ethical AI standards at HOOPP.Partner with Data Engineering and Technology teams to productionalize models and ensure scalability, reliability, and maintainability.Stay current with the latest trends, tools, and techniques in data science, AI, and machine learning, and proactively bring innovative ideas to the team.
EDUCATION
University of Toronto
Bachelor of Science Honours with high distinction
University of Toronto
Master of Science (M.Sc.)
University of Toronto
Doctor of Philosophy - PhD
ABOUT EMAN A.
Data Analytics Professional with 9 years of experience leading data science projects and transforming complex data into strategic insights. Demonstrates strong skills in data governance, problem-solving, and team leadership, fostering growth and innovation within teams. Committed to enhancing decision-making processes and aligning data strategies with business objectives.
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