In charge of data collection pipelines (including scrapping, ETL, and post-collection verification) and AI model training. Development in Python (including Torch, Selenium, and other libraries), NoSQL (Mongodb), cloud computing (AWS), and containerization (Docker).

Data analyst and scientist at DeepDAO. In charge of data insights, time-series analysis and other predictive modeling. Development in Python (including NumPy, Pandas, Scikit-Learn, SciPy, and XGBoost), and SQL (PostgreSQL).

Researcher at the Viterbi Family Center for Public Opinion and Policy Research in the Israel Democracy Institute. I designed opinion poll surveys in order to better understand the public's thoughts on the social and political issues of the day. Sur-vey results were presented to government officials as well as the public at large. My responsibilities included questionnaire design, survey analysis (via SPSS), the presentation of the data in tables and graphs, and training of new staff.

Research assistant at Hebrew University, research project on economic voting headed by prof. Orit Kedar. I was responsible for assembling and reviewing the current research in the economic voting field and its interaction with a number of variables of interest.

Research assistant and programmer at Hebrew University, Lab of Discourse Analy-sis, headed by prof. Shaul Shenhav and prof. Tamir Sheafer. For this project I built an automatic web crawling and scraping program of news websites, and further automatic analysis for sentiments of political actors. Programming in Python (in-cluding NLTK, scikit-learn, NumPy, SciPy, Pandas, matplotlib) and SQL (MySQL).

Full stack developer at At Home in Israel LLC. Programming primarily via Ruby on Rails. Responsibilities included maintaining and updating the sales website, implementing anti-spam measures and involved constant contact with sales team and content writers.

Full stack developer at Innovative Virtual Instruments. In this capacity I built a social network website with a niche audience. Programing both back-end and front-end via PHP, JavaScript and SQL (MySQL).