Shailee is a Senior Data Scientist based in RBB’s London office. She holds a Ph.D. in Theoretical Physics from QMUL with publications in physics journals. She completed a Data Science fellowship at Faculty AI (London) before joining RBB in 2019. Shailee is fluent in English and French.

Shailee has worked on a wide range of competition cases before the European Commission, as well as other national competition authorities like the UK, France, Sweden and Australia. ​

Her expertise lies in data-intensive tasks and she is highly proficient in data science, machine learning, Python, SQL, and other programming languages. Notably, her expertise in cloud computing and cloud platforms has been a genuine asset on recent digital market cases that involved very large amounts of data. ​In addition to building internal tools to increase efficiency at RBB and applying machine learning techniques in Econometrics, she has worked on economic analyses for cases including mergers, cartels, follow-on damages estimation and market studies.

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