Navit Dori is a data scientist with a Ph.D. in Physics and a strong background in applied mathematics. She specializes in algorithm development for analysing large, complex datasets, utilizing both classical statistical and data visualization tools, as well as advanced machine learning and AI techniques. Navit has a proven track record of using advanced statistical methods and data science tools to drive impactful insights and innovation. She is proficient in Python, SQL, and Matlab and skilled in applied mathematical techniques, including Monte Carlo simulations, time series analysis, and causal inference. Before joining NE&S, Navit worked as a data analyst at a healthcare facility and as an R&D researcher in a fibre-optic communication startup.
Specialties :
Simulations of complex systems, machine learning, data science, statistical analysis.
Degrees :
- PhD in Physics, Bar Ilan University, Israel.
- Master’s in Physics (MSc), The Weizmann Institute of Science, Israel.
- Bachelor’s degree in physics (BSc), Tel Aviv University, Israel.
Languages:
English, Hebrew