We are designers, architects and engineers who enable our customers to be competitive and disruptive in the marketplace through innovative technology solutions while helping them to navigate successfully through multiple waves of technology change. Our data science services enable our customers successfully generate value from vast amounts of available data, creating more intelligent enterprises along the way.
This presentations explains a use case from the aviation industry with its challenges covering legislation, data governance, delivery frameworks, business cases, prediction models and used technologies.
Kocsis Olivér
Lead Business Analyst, EPAM
Kocsis Olivér is a certified Product Owner, Business Analyst, and Data Scientist. He participated in various software development and data science projects covering the domains of banking and finance, enterprise resource planning, telecommunication, travelling and public sector. He is enthusiastic about listening to people from every discipline and culture. His passion is to motivate people to seek a deeper understanding of the world. He believes in the power of ideas to change attitudes, lives and, ultimately, the world.
Süveges György
Data Scientist, EPAM
Süveges György works as Data Scientist and Data Engineer with strong mathematical and software engineering background. Currently works in the airline business field but also created predictive models in finance domain and applied deep learning technics in the field of NLP in earlier projects. Passionate about this new field because of its flexibility in architecture. If the time allows he does some research how deep learning architectures could replace or work together with the current “usual” machine learning algorithms like GBM, SVM besides the AI fields.