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    Ercan Kamber

    Chief Data Officer (CDO) @ Angi

    Ercan Kamber is an experienced technology leader and Chief Data Officer (CDO) at Angi, a company that provides home services. With over 15 years of experience in the field, Kamber has established himself as a prominent figure in data science and engineering.1

    Professional Background

    Kamber's expertise lies in building and leading top-tier data organizations. His career history includes notable positions:

    • Chief Data Officer at Angi (current role)1
    • Former employee at Microsoft2

    Education and Skills

    Ercan Kamber holds a Ph.D. and has studied at Brandeis University.1 His areas of expertise include:

    • Data Science
    • Technology Leadership
    • Search Engine Marketing (SEM)
    • Digital Marketing3

    Leadership Philosophy

    Kamber emphasizes the importance of people in his leadership approach. He believes that the primary reason to start any initiative is the people involved.4 This people-centric philosophy likely contributes to his success in building and managing data teams.

    Professional Interests

    Ercan Kamber is actively engaged in discussions about:

    • Data Science practices
    • Code reviews in data science5
    • Data Science Scrum methodologies7

    He frequently shares insights and thoughts on these topics through his LinkedIn posts and articles.

    Location and Social Media

    Ercan Kamber is based in the San Francisco Bay Area.6 He maintains an active presence on professional social media platforms:

    • LinkedIn: username "ercankamber"1
    • Twitter: @ErcanKamber6

    Kamber uses these platforms to share his expertise, discuss industry trends, and connect with other professionals in the data science and technology fields.

    Related Questions

    What are Ercan Kamber's key achievements at Angi?
    What is Ercan Kamber's background before joining Angi?
    How has Ercan Kamber influenced data science practices at Angi?
    What projects has Ercan Kamber led at Angi?
    What are Ercan Kamber's thoughts on code reviews in data science?