About

Trained as a physicist, I have a strong background in programming. I have a passion for dissecting datasets and doing detective work to find the hidden stories in data and produce insights through creative visualizations.

Currently, I’m helping a non-profit organization reduce costs and gain insights from their data to improve decision-making.

In my career as a physicist my research focused on how individual-level interactions shape systemic-level, emergent phenomena. These phenomena ranged from the global spread of diseases to the propagation of information and behavioral traits among networks of financial traders.

An example of this work includes a real-time forecast of the swine-flu epidemic. It was featured in the New York Times!

More recently, I’ve been sharpening my data science skills by:

• Participating in Kaggle Competitions
• Analyzing the impact of severe weather events in the US
• Automatic classification of accelerometer data into physical activities
• Developing a text prediction app using NLP and machine learning.

Through my academic career I’ve been lucky enough to live in different countries. I’ve lived in Israel, Germany and finally the US. Along the way I learned their languages. I’m fluent in Spanish, English, German and long time ago I knew Hebrew –good enough to attend quantum physics lectures!