Aviv Rotman

Machine Learning Lead at Mana.bio
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Contact Information
us****@****om
(386) 825-5501
Location
Israel, IL
Languages
  • English Native or bilingual proficiency
  • Hebrew Native or bilingual proficiency

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5.0

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Assaf Binstock

Aviv worked in my division, and proved to be a very professional analyst. We worked together on a number of strategic projects for some of our more important customers at adkit (Banks and Credit Card issuers). Aviv's is a very thorough analyst who always tries to gain a deep understanding of the projects he's working on. His expertise in IT and Hi Tech subjects was very valuable to us and his insights on these subjects for financial organizations were accurate, relevant and offered actionable recommendations. Assaf

Shai Ben-Moshe

I worked with Aviv as his research manager on a number of projects at Adkit, and i can recommend him as a person with great recognition and deep knowledge and passion for the IT and Hi-tech Industries. I noticed that Aviv had the ability to cover and sift thought large amounts of information synthesize meaningful insight. Aviv never backs down from a challenge and is willing to learn new skills and use new tools to address the task at hand. In all I think Aviv is a great Analyst, and his genuine interest in the subjects he researched made him a pleasure to work with.

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Experience

    • Biotechnology Research
    • 1 - 100 Employee
    • Machine Learning Lead
      • Oct 2021 - Present

    • Israel
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Date Science Mentor
      • Feb 2020 - Feb 2022

    • United States
    • Software Development
    • 700 & Above Employee
    • Algorithms Team Lead
      • Nov 2019 - Nov 2021

      Leading a team of experienced Algorithm Engineers projects in the fields of real time bidding and click prediction, recommendation policy and bias using deep learning algorithms in Tensorflow

    • Data scientist
      • Dec 2015 - Nov 2019

      Implementing features in core recommendation engine in Java, and Python using deep learning models based on empiric click data and contextual features. Major accomplishments include building highly performant framework for serving image and textual prelearned embeddings using technologies such as gRPC, Docker, Kafka, and Cassandra as well as initiating algorithmic work into news aggregation product using heuristics to meet ambiguous product requirements.

    • Biotechnology Research
    • Product Data Analyst
      • Oct 2012 - Nov 2015

      Locating algorithms and databases to fulfill requirements, writing scripts to scrape data, and specifying integration of algorithms for developers. Performing competitor analysis, collecting feedback from product users

    • Product Management Intern
      • Jul 2012 - Oct 2012

    • Israel
    • Research
    • 700 & Above Employee
    • Bioinformatics scientist
      • Oct 2012 - Oct 2015

      Graduate research on high throughput genomic based on synthetic biology based experimental data at the Pilpel systems biology lab. Work included experimental design, developing proprietary data pipeline, data analysis and statistical modeling. Graduate research on high throughput genomic based on synthetic biology based experimental data at the Pilpel systems biology lab. Work included experimental design, developing proprietary data pipeline, data analysis and statistical modeling.

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Analyst
      • Dec 2011 - Oct 2012

    • Research Assistant
      • Jul 2010 - Jul 2012

    • Israel
    • Market Research
    • 1 - 100 Employee
    • Senior competitive intelligence analyst
      • Aug 2010 - Dec 2011

    • United States
    • Software Development
    • 100 - 200 Employee
    • QA Engineer
      • Dec 2008 - Aug 2009

    • Text Classification Support Team Lead
      • Sep 2005 - Jun 2008

Education

  • Weizmann Institute of Science
    Master of Science (MSc), Molecular Biology
    2012 - 2015
  • The Hebrew University of Jerusalem
    Bsc, Biology
    2009 - 2012

Community

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