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Toronto, Ontario, Canada
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Achievements
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Latest feedback
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Project feedback
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Project feedback
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Project feedback
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Recent projects
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AI Healthcare and Clean Tech Research Intern
This project aims to explore the potential of AI-driven tools in enhancing skin health and water purification, focusing on the needs of racialized communities. The project will involve conducting professional interviews with experts from various fields, including clinicians, researchers, community organizations, regulatory professionals, IP experts, and business mentors. The goal is to identify key gaps and opportunities in the current landscape and gather insights that will inform the development of AI tools. These tools are intended to address clinical needs, regulatory considerations, intellectual property concerns, and community perspectives. By synthesizing expert insights, the project seeks to guide the creation of innovative solutions that are both effective and culturally sensitive.
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Small Business Market Research Analyst
This project aims to conduct a comprehensive market research study focused on identifying hiring and skills gaps among small businesses in Toronto and the Greater Toronto Area (GTA). The goal is to gather data that will inform strategies to enhance hiring capacity and workforce skills development. By analyzing current hiring trends and identifying specific skill shortages, the project will provide valuable insights into the challenges faced by small businesses. Additionally, the research will explore various hiring incentives, such as Canada Summer Jobs, Wage Subsidy programs, and credit lending programs, that small businesses can leverage to support their hiring needs. The findings will be used to develop recommendations for partnerships and programs that can help bridge these gaps and support small businesses in their growth and development.
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Education Learning Research Analyst
The project aims to explore and identify effective learning and communication strategies tailored for diverse and non-traditional learners within the sports sector. The goal is to gather insights from various fields such as education, sports, and neurolearning to enhance literacy programs and improve the acquisition and application of knowledge. This research will specifically contribute to the development of the Sankofa Bridge program by providing evidence-based strategies that can be implemented to support diverse learners. The project will involve a comprehensive review of existing literature, case studies, and best practices from related industries. By focusing on the intersection of sports and education, the project seeks to bridge gaps in learning methodologies and foster inclusive educational environments.
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Protein AI Phase 2 Learning and Accessibility Testing
The main goal for the project is to complete the learning of software platforms GitLab, Helix Core, Firebase, and Cloud App Engine, and to build sample models to use on each platform. Additionally, the project aims to test the accessibility of LLM for Gemini 1.5 pro, Meta's Lama, H2O.ai, hugging face, and mistral. The findings from the research and testing will be presented to the team.