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Moran Haham is a seasoned data scientist and team leader with extensive experience in developing predictive algorithms, Recommender Systems, and personalization solutions for Ad-tech. He has a Master's degree in Information systems engineering - Machine learning from Ben-Gurion University of the Negev and a Bachelor of Applied Science (B.A.Sc.) in Industrial Engineering from Tel Aviv University.

Experience

    • Recommendations Team Leader
      • Jan 2021 - Present

      - Managing a team of 7 Data Scientists and Backend Engineers, in charge of the click-through rate prediction at Outbrain.- Developing click-through rate prediction models, Recommender Systems, Cold-start solutions, Image similarity, contextual similairy and other personalisation solutions for Ad-tech.- In charge of the full project life cycle: from collecting the requirements to analyzing the data to designing the solution to implementing the algorithm, integration with existing services, maintenance, and monitoring.- In charge of production models and services - Work closely with R&D, business and product in order to fit the solutions to customer needs.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Data Scientist - Team Lead
      • Nov 2019 - Jan 2021

      - Hiring, coaching, training and mentoring junior-level employees - Leading a team of 4 data scientists- Apply Machine Learning and Data Science techniques such a classification, hierarchal classification, regression, time-series to address real-world challenges across diverse industries such as retail, banking, insurance, and more.

    • Senior Data Scientist
      • 2018 - Nov 2019

      Using data modelling, statistical analysis, and machine learning to solve the world's hardest problems in a wide range of industries including Manufacturing, Banking, Insurance, Retail and more.

    • Data Scientist
      • Apr 2017 - Nov 2019

    • Senior Data Scientist
      • Feb 2015 - Mar 2017

      (1) Developing predictive algorithms, regressions, classification, recommendation systems and clustering based on historical user activity using Apache Spark and SQL.(2) The position included feature engineering, data analysis and data insights.(3) Took charge of all the modelling stages: data processing, algorithm implementation and evaluation using Spark ML-Lib.

    • Researcher
      • Oct 2013 - May 2015

      Working on sentiment analysis in call center conversations, using natural language processing

    • Machine Learning Expert - Independent consultant
      • 2012 - 2014

      Analysis of business data using machine learning.Designed and oversaw implementation of a customer’s life time value prediction model in Perion networks.

    • Business Analyst
      • Nov 2010 - 2012

      Compiled business plans and financial models. Presented findings to management, CEOs, board and government officials.Key role in a team in charge of designing a reform to the Israeli Railway Company; Recommendations adopted by the Prime Minister & Cabinet.

    • Supply Chain Consultant
      • Mar 2008 - Oct 2010

      -Championed all contract-management projects, including the entire lifecycle: from eliciting new clients and price negotiation to implementation and delivery.-Built an innovative supply chain risk management workshop.-Supervised the project of rebuilding the company’s new website. -In charge of evaluating and integrating a CRM solution in the company.-Building a supply chain for a clinical trial in India.

    • Programmer
      • 2002 - 2004

    • student
      • 2002 - 2003

Education

  • Ben-Gurion University of the Negev
    Master's degree, Information systems engineering - Machine learning
  • Tel Aviv University
    Bachelor of Applied Science (B.A.Sc.), Industrial Engineering

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Industry Focus. “Software Development”

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