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Vitalii Dodonov
Vitalii is part of the Deloitte Omnia Data Science team. He spends most of his time working with data, including database organization, feature engineering, supervised and unsupervised modelling using the latest machine learning techniques, model testing and validation. Vitalii has recently completed a proof of concept project dedicated to predicting success rates of applications for US visas. His current project aims to predict companies that might be good candidates for Mergence and Acquisition transactions. In his free time, Vitalii researches the field of finance, focusing his efforts on predicting stock market performance and gains expertise in front-end (HTML, CSS, JS, Vue) and back-end software development (Python Flask, Python Django, Go).
Sangeet has worked at Deloitte for 10 months as a Business Technology Analyst in the Cloud Engineering in Technology. Sangeet has worked in the insurance space, and is very interested in rapid prototyping and disruption in business, public sector and community initiatives. Sangeet graduated from University of Western Ontario with a Specialization in Computer Science and a minor in Psychology.
While at Deloitte, Sangeet has attended 5 hackathons and help lead initiatives like coffee & code that intersect between business and technology.
Sangeet Parashar
