Develop and improve models and algorithms for real estate investing and auto loans evaluation. Several significant contributions to the main models in production. Specific projects: - Predicting house price appreciation- Spatial analysis- Supply and demand features- Risk optimization- Model explainability- Tenant selection- Credit risk- Price optimization- A/B test design

Researched the technological frontiers and developed tools and algorithms for Earnix software. Built experimental applications for customer use.Specific projects: - GANs for tabular data- Machine learning explainability- Fairness in machine learning models- Vehicle telematics

- Policy-driven empirical research of different aspects of the Israeli economy, using tools from econometrics, statistics, and machine learning. - Presented reports to parliament (Knesset) members and high ranking officials, published articles in Israeli newspapers

Undergraduate course: Applied research methods for economists. The syllabus included “simple” ML models (linear/logistic regression) and causal inference (e.g., fixed effects, diff-in-diff, IV). The course had a team of 4 teaching assistants.

Different projects and research-assistant jobs inside and outside the academia. Most of the projects involved empirical research based on econometrics and statistics, and some included theoretical modeling using Matlab.

Statistics and econometrics, information systems, introductory economics, macroeconomics (Tel Aviv University and several other colleges)

Developing analytical automatic tools for assessing the performance of salesman, working with SQL server

Strategic and management consulting for different firms