Attained transition from the existing DAM (Digital Asset Management) system to the newly implemented system, greatly reducing operational cost by millions
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Integrated machine learning models to automate image processing workflows and reduce manual editing time, greatly improving efficiency by 88% and 96%
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Steered efforts to streamline and improve image asset workflow that minimized submission completion time from 24 hours to 20 minutes and eliminated a backlog of 1K-10K files.
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Designed and executed a streamlined registration system for a new digital asset management that resulted in dramatic decrease of asset registration time from hours to seconds.
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Formulated innovative ways to improve efficiency of project by streamlining queries to the existing DAM system with leases, significantly reducing the number of calls by up to 90%.
