Roy***hak

Head of Artificial Intelligence and Data Science

Education

Bar-Ilan University

Bar-Ilan University (2007 - 2010)

  • Degree: Phd
  • Field of Study: Applied Mathematics
  • Description:

Bar-Ilan University (2004 - 2006)

  • Degree: Msc
  • Field of Study: Applied Mathematics
  • Description:

Bar-Ilan University (2001 - 2003)

  • Degree: Bsc
  • Field of Study: Compuational Biology
  • Description:

Skills:

Analytical Skills, Pandas (Software), Machine Learning, Algorithms

Work Experience:

Head of Artificial Intelligence and Data Science at Infinita Big Data

  • Location: Israel
  • Duration: 2016-01 to Present
  • Description: Researcher, scientific advisor , big data hands on developer(spark , python , tensorflow) , project manager from A to Z . A lot of experience in Machine Learning and in more details: Computer Vision , Deep Learning ,Signal Processing , Networks Analysis Theory , Data Mining ,Natural Language Processing (NLP) , Anomaly Detection , Feature selection and Optimisation .

Lecturer at The Jerusalem College of Engineering (JCE)

  • Location: jerusalem
  • Duration: 2007-10 to 2019-09
  • Description: Lecturer at the following courses: Advanced Machine Learning Big Data Systems Data Mining Artificial Intelligence Algorithms Data Structure Object Oriented Programming Introduction for C++

Chief Data Scientist and Algorithm Team Leader at 3Base - Web Development

  • Location:
  • Duration: 2014-05 to 2017-09
  • Description: Leading a team of 5-10 data scientists , Delivering projects from the definition stage to the production stage , Most of our projects involved Big Data systems and algorithmic challenges .

Algorithm and machine learning expert at Correlor Technologies

  • Location: Jerusalem
  • Duration: 2012-04 to 2014-04
  • Description: Design and invent machine learning algorithms - in the collaberative filtering field. Working with big data , using Data Mining techniques to iplement recommendaions engine . Designing new algorithm for unsupervised Clustering , and new techniques for recommendation based on social network field. working with Matlab and Java.

Team leader of algorithm and programming at Ulisess Capital

  • Location: Tel-Aviv
  • Duration: 2009-01 to 2012-02
  • Description: Quantitative Analysts , Design and consuling of trading algorithms , signal processing on high level , pattern matching and machine learning related to algo-trading . Leading a team of 4 programmers and traders. working with : c++,java,C# and Matlab
AI Resume Analysis

Candidate Intelligence Report

AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.

Career Continuity & Risk Assessment

Employment GapLow

No evident employment gaps; continuous involvement in industry roles and academia from 2007 to present.

Industry ConsistencyMedium

Experience spans education, finance, and technology sectors. Core focus remains AI/ML/data, but industry shifts may require domain ramp for certain US market roles.

Tenure StabilityLow

Notable long-tenure at Infinita Big Data (2016–Present) and JCE (2007–2019); other roles are shorter but aligned with the data/AI track.

Education-Career MatchMedium

Education is listed as Bar-Ilan University without explicit degree details; professional trajectory implies advanced credentials, but verification may require degree clarification.

Career Growth Curve

Lecturer Lateral
The Jerusalem College of Engineering (JCE)
2007-10 to 2019-09
Team Leader of Algorithm and Programming ↑ Promoted
Ulisess Capital
2009-01 to 2012-02
Algorithm and Machine Learning Expert Lateral
Correlor Technologies
2012-04 to 2014-04
Chief Data Scientist and Algorithm Team Leader ↑ Promoted
3Base - Web Development
2014-05 to 2017-09
Head of Artificial Intelligence and Data Science ↑ Promoted
Infinita Big Data
2016-01 to Present
Assessment: Royi’s career shows a clear upward trajectory into senior leadership in AI/DS with strong hands-on execution and team leadership. The candidate is well-positioned for C-level or VP-level data leadership roles in US-based organizations, with potential for geographic relocation and visa considerations.

Best-Fit Roles (Top 5)

1

Vice President of Data Science97% fit

Extensive leadership, strategic roadmapping, and a track record building scalable AI programs across multiple domains; aligns with executive US market expectations.

2

Director of AI/ML Engineering92% fit

Strong hands-on ML, deployment experience, and team leadership; suitable for scaling ML initiatives in mid-to-large organizations.

3

Chief Data Scientist89% fit

Strategic, hands-on, and advisory capabilities to guide data science roadmaps and prioritize ML initiatives.

4

Principal Data Scientist86% fit

Senior individual contributor with deep modeling and algorithmic expertise; ideal for technical leadership in complex projects.

5

AI Solutions Architect80% fit

Bridges business and engineering; strong capabilities in ML/CV/NLP and big data; suitable for architecture leadership and pre-sales.

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