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Revital Manor, PhD has a diverse work experience spanning over several years. Revital currently serves as a Lead Data Engineer at Enterprise Peak, where they work with Fortune 200 companies in the medical device industry. Their responsibilities include data extraction, integrity, consistency, and harmonization, as well as structuring data for machine learning algorithms. Revital also acts as a liaison between the Data Science and Clinical Affairs teams. Prior to this role, Revital worked as a Senior Data Engineer at the same company.

Before joining Enterprise Peak, Revital was a Data Scientist at Global PI Ventures, where they worked as a self-employed professional. In this role, they utilized their expertise in data science to analyze and extract insights from various datasets.

Revital has also gained experience as a Data Scientist at MolecuLight, where they developed visualization algorithms for data summary and automated bacteria colony detection in optical images.

Revital worked as a Senior Data Scientist at Swift Medical, where they built datasets for machine learning by combining public and proprietary data. Revital also benchmarked various technologies for SQL-like query latency and developed ETL pipelines using PostgreSQL and Python.

Revital's experience as a Graduate Assistant at Ryerson University's Data Analytics, Big Data, and Predictive Analytics Certificate program allowed their to develop skills in data analysis and predictive modeling. As a student in the same program, they conducted research on text analysis and user classification using Natural Language Processing (NLP) methods.

In addition to their industry experience, Revital has worked as a Consultant at Global PI Ventures, a Visiting Scientist at The Mouse Imaging Centre at The Hospital for Sick Children, a Visiting Lecturer at The Department of Brain and Cognitive Sciences at Ben-Gurion University, and a Scientist/MRI physicist at Hadassah University Medical Center.

Revital's early career includes a Postdoctoral fellowship at the Hospital for Sick Children, where they focused on neuroimaging of preterm neonates and developed advanced imaging techniques and automated analysis algorithms.

Overall, Revital Manor, PhD has a rich and varied work experience in various scientific and analytical roles, showcasing their expertise in data engineering, data science, and neuroimaging research.

Revital Manor, PhD obtained their Bachelor of Science (B.Sc.) degree in Chemistry from Tel Aviv University, where they studied from 1991 to 1995. Revital then pursued further education at Tel Aviv University, where they completed their Doctor of Philosophy (Ph.D.) in Diffusion MRI from 1998 to 2006. In 2017, Revital attended The G. Raymond Chang School of Continuing Education at Toronto Metropolitan University and completed a Certificate Program in Data Analytics, Big Data, and Predictive Analytics in the field of Computer Science. Additionally, they obtained the certification for "Kafka Essential Training" from Lynda.com in March 2018.