Data Scientist at several companies

Perimeter 81 - Built NLP and ML models, including keyword extraction, sentiment analysis, and anomaly detection using time

series, to help improve customer success and sales groups capabilities.

Implemented a churn prediction model that has significantly improved the company's ability to understand and

prevent churn (1.5x improvement from previous process), using survival analysis model.

Data analysis and dashboard creation (using Looker). Intel Corporation - onducted talent analysis and research on global market data, developed an ML model that compares Intel talent market demands to competition and developed and automated tools and processes related to talent analytics.

Received a division recognition award for developing an AI tool that helps to retain employees in the company. This tool helped the organization to save over 10M$ so far.