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Bruno Carniero Camara is a student attending studying Electrical Engineering at the University of Sao Paulo in Brazil. Bruno became fascinated with computer science and programming in his first year of study. Since then, he has been extending his knowledge in many related areas including the Internet of Things, Robotics, Web Applications, Data Science and programming in general. In early 2021, he took his first Big Data and Analytics classes, working on a project that culminated in producing final project for his course and the research and results are reflected in his poster. |
Poster Abstract
Tons of money is lost because of fraud committed by companies. There are already laws to punish company partners for these abusive acts for their own benefit, however, how can the authorities locate and take the necessary actions? This is where my work comes in. Identifying registration inconsistencies, suspicious behaviors or unusual situations may prevent or locate frauds. Using three different public databases as the starting point, I was able to link companies and partners to suspicious behaviors, such as receipt of undue government benefit by company partners and reports of work analogous to slavery in companies.
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