I am excited and motivated to grow professionally and personally with experienced people. I am a people person, with an open personality, ready to work on individual projects and to be a team player whenever it is needed.
I have Bachelors of Science and two Masters of Science in Mathematics. I have done my second masterโs thesis โPrecise deviations for Hawkes Processesโ, a mathematical model for self-exciting processes, widely used in machine learning, under the supervision of Prof. Dr. Ashkan Nikeghbali at University of Zurich.
I recently finished an internship as a Data Scientist Algorithm Developer for core body temperature solutions, which are used by professional athletes and in medical purposes. My workload consisted of:
- preparing and analyzing recorded time series sensor data in Python,
- improving current algorithms and implementing new ideas for tracking physiological parameters,
- applying statistical modelling and machine learning to exploit data streams from multiple sensors, testing and validating developed models,
- documenting my progress and taking care of the case studies reports, which are communicated to the sales department and to the stakeholders.
As a mathematician, I am able to learn quickly and efficiently, and I have an affinity for working with numbers and looking into the details. I am curious and always looking for new interesting areas in which I could improve my skills.
2022 - 2022: Data Scientist Algorithm Developer Intern @ greenTEG AG
2019 - 2021: Research and Development Assistant @ QualySense AG
2018 - 2021: MSc in Mathematics @ University of Zurich
2016 - 2017: MSc in Mathematics @ University of Kragujevac
2012 - 2016: BSc in Mathematics @ University of Kragujevac