Ideal
Lena Umansky is an experienced Machine Learning Engineer currently with Ideal since August 2018, specializing in developing machine learning models for text processing tasks utilizing technologies such as Python, Tensorflow, and Node. Prior to this role, Lena held positions as a Senior Application Developer at Klick, where customer CRM programs were developed, and as a Senior IT Engineer at Cisco, focusing on full cycle development for Supply Chain and Service Delivery projects. Additional experience includes technical leadership at NDS, freelance development for various clients, and roles at IDT Telecom, Amdocs, and Versaware Technologies. Lena holds both an M.Sc. and B.Sc. in Computer Science from The Hebrew University of Jerusalem and is a certified Scrum Master.
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Ideal
Ideal is a talent intelligence system that enhances HR software to help teams make more accurate, efficient, and fair talent decisions. Leveraging proprietary artificial intelligence technology, Ideal analyzes data across the entire employee lifecycle. Ideal is able to accurately screen and match talent and automates administrative tasks—all whileproviding concrete, data-driven insights on diversity, equity, and inclusion.