Ricky Kim is a seasoned data professional with extensive experience in data engineering and analysis across various industries. Currently serving as a Data Engineer at MOO since May 2022, Ricky has previously worked at Pirical, where responsibilities included data modeling in RDF and RDBMS SQL databases, data cleaning and transformation using Python and Pandas, and maintaining data workflows. Prior to Pirical, Ricky held the position of Data Analyst at Resolver, focusing on consumer complaints data, developing data models with Looker LookML, and driving data-driven initiatives within the organization. Ricky's career also includes roles in account management and business development in the fashion industry, with notable positions at NH Foods UK and Shanghai YQL International Trading Company. Ricky holds a Master of Arts in Fashion Curation and a Bachelor of Arts in Fashion Management from the London College of Fashion, as well as completing a Data Science Immersive course at General Assembly. The technical skill set encompasses Python, SQL, SPARQL, various AWS services, and data visualization tools such as Looker and Tableau.
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