Pedro M.Data Scientist
Skills
A versatile creator with a profound motivation for developing innovative solutions, this candidate excels in the intersection of data science and artistic endeavors. With extensive experience as a Senior Data Scientist, proficiency in statistical modeling, and adept programming skills in R and Python, they have successfully analyzed user data of millions to derive actionable insights and predict user behavior, driving enhanced company performance. Demonstrated ability to lead data teams and engage in rigorous experimentation, including designing A/B tests and developing custom predictive models, showcases a robust analytical acumen underpinned by a deep passion for mathematics and statistics. As a self-driven Freelance 3D Artist, they transformed a hobby into a professional pursuit, highlighting adaptability and creative vision. Their communication skills enhance collaborative endeavors, making complex concepts accessible and actionable.
Freelance 3D Artist
3/1/2021 - Present
Managed a personal business creating custom digital 3D models based on client specifications for various digital applications, including gaming.Senior Data Scientist
12/1/2016 - 3/1/2021
Led the development of the data science team by establishing its vision and participating in key hiring decisions while creating statistical models to predict user behavior and revenue, analyzing A/B test results, and generating reports to facilitate data-driven decision making.Risk Analyst
12/1/2015 - 11/1/2016
Developed a customized fraud detection and risk estimation model for users on the platform and integrated third-party risk assessment tools.Intern - Modelling of Microbiological Systems
3/1/2015 - 8/1/2015
Interned on developing a computational model using Bayesian Networks to simulate the cheese ripening process, incorporating expert prior knowledge for enhanced accuracy.Intern - Decentralised Algorithm Research
5/1/2014 - 7/1/2014
Worked on improving the implementation and performing experiments on a multi-agent algorithm for the parallel analysis of logical consequences derived from observational theories.
Automation Engineering at ENSTA Paris
2013 - 2015Software Engineering at USP - University of São Paulo
2010 - 2015Artificial Intelligence, Operational Research, Decision Theory at Pierre and Marie Curie University
2014 - 2015
Modelling of Complex Microbiological Systems Using Semi-Supervised Machine Learning at French National Institute for Agricultural Research
3/1/2015Implementation of and experimentation on a decentralised algorithm for consequence research at Laboratoire d'Informatique de Paris 6
5/1/2014
Pedro is available for hire
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