Hanna Swail
About Hanna Swail
Hanna Swail is a Machine Learning Solutions Intern at Stradigi AI in Montreal, Quebec, Canada, where she has worked since 2021. She has a background in microbiology and analytics, with previous roles in quality assurance, UX/UI consulting, and research.
Work at Stradigi AI
Hanna Swail has been working at Stradigi AI as a Machine Learning Solutions Intern since 2021. In this role, she applies her knowledge of machine learning and data analysis to develop innovative solutions. Her internship is based in Montreal, Quebec, Canada, where she has gained practical experience in the field of artificial intelligence.
Education and Expertise
Hanna Swail studied at McGill University, where she earned a Master of Analytics in Management from the Desautels Faculty of Management in 2021. She also holds a Bachelor of Applied Science in Microbiology and Immunology, obtained from McGill University from 2016 to 2019. Additionally, she completed a Science DEC in Applied Science at CEGEP - John Abbott College from 2014 to 2016. Her educational background supports her expertise in scientific report writing and health analytics.
Background
Hanna Swail has a diverse professional background. Prior to her current role, she worked as a Quality Assurance Auditor at Charles River Laboratories from 2018 to 2019, where she developed a comprehensive understanding of auditing processes. She also served as a Consultant - UX/UI Specialist for the Ontario Government from 2020 to 2021 and as a Fermentation Research Associate at Hyasynth Bio in 2020. Her experience includes working as an Undergraduate Researcher at McGill University from 2019 to 2020 and as a Lifeguard/Swim Instructor at Pointe-Claire Aquatic Center from 2014 to 2018.
Skills and Interests
Hanna Swail possesses strong skills in data analysis and machine learning, complemented by her background in microbiology and immunology. She has a keen interest in health analytics, which drives her professional pursuits. Her laboratory techniques enhance her capabilities in data analytics, allowing her to effectively contribute to projects in her field.