Harbr
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.
Harbr
4 followers
Harbr’s enterprise data exchange empowers organizations to unlock more value from their data and to accelerate data-driven business models through its secure, custom-branded data sharing and collaboration platform (delivered as a service). It turns data and models into self-service products and provides granular control of sharing and collaborating on them with internal and external stakeholders. Harbr delivers the simplicity you want and the control you need to generate new insights and extract value from data. They are headquartered in London with a growing global team.