Daniella Tsar

Data Scientist, Thomson Reuters Labs

Daniella is a Data Scientist at Thomson Reuters Innovation Labs, London. She uses her expertise to develop and build data science solutions spanning a wide range of industries and methodologies, predominantly machine learning, statistics and natural language processing. Partnering with internal teams, customers and third parties, such as start-ups and academics, Daniella works on data-driven innovative solutions utilizing the rich and varied data sets within Thomson Reuters.

Prior to joining Thomson Reuters Labs, Daniella has worked as a Quantitative Analyst and Researcher in the banking sector, received a B.Sc. in Financial Economics and Econometrics from the university of Kent, as well as an M.Sc. in Finance from the Warwick Business School.

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