Vincent Tam is a skilled Data Scientist at Harbr | CloudData, possessing extensive experience in Linux, shell scripting, and big data technologies such as Hadoop and Spark. Proficient in data visualization tools including GGplot, Tableau, R-Shiny, and Leaflet, Vincent has developed the SYNTHETICR dataset for modeling money laundering activity under FCA commission. Expertise includes data analysis, ETL/cleaning, machine learning, and NLP techniques like sentiment analysis, with strong capabilities in both Python and R. Prior to this role, Vincent served as a Private Tutor specializing in Mathematics, worked on derivatives arbitrage at Kessel Trading, and traded interest rates and commodities with Met Traders Ltd. Vincent holds a degree in Mathematics from the University of Southampton and a Data Science and Big Data Analytics certificate from The London School of Economics and Political Science.
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