Berlin, Berlin, Germany
Data Scientist with a strong mathematical background from a PhD in theoretical physics. Over two years experience identifying ML applications to solve business problems and designing and implementing scalable ML pipelines.
Developing new Machine Learning applications with involvement in all project stages: Data exploration and identification of ML opportunities, project planning, developing bespoke model prototypes, data analysis and ML model iteration, reporting and presenting results to stakeholders, maintaining and improving deployment and monitoring infrastructure
An intensive program for PhD graduates aimed at facilitating the transition from academia to data science, with an emphasis on the completion of a real life big data problem in collaboration with an industry partner. I worked in a team of five, using Natural Language Processing to analyse a large corpus of documents and identify common themes to facilitate and partially automate information gathering for future industry projects.
Scientific research in an ERC-funded group working on the intersection of particle and astrophysics: Development of numerical simulation software in Python and C; Extensive numerical simulation on a high-performance-computing cluster; Modeling of experimental data using statistical methods; Publication of results in international journals and presentation of results at conferences and seminars