Senior Data Scientist
As as Senior Data Scientist at Very, Elaad applies machine learning methods to find creative, yet understandable solutions to address client needs, while also ensuring that the products work reliably end-to-end.
Python, SQL, C/ C++
Tools & Frameworks
Numpy, Scipy, Pandas, Scikit-Learn, Statsmodels
Linear Models, Monte Carlo Methods, Natural Language Processing, Clustering, Time Series Analysis
- Rutgers University, Graduate Research Assistant
- National Institute of Nuclear Physics, Undergraduate Researcher/ Intern
- Wiezmann Institute of Science, Undergraduate Researcher
With a Ph.D in Astrophysics from Rutgers University and a B.S. in Physics from University of Illinois at Urbana-Champaign, Elaad has used data from large simulations to study galaxy formation and evolution. At Very, Elaad continues to apply similar research methods to real-world data to answer exciting questions.
In Elaad's free time, he enjoys playing the guitar, traveling, learning languages, and playing pub trivia.