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).