Filip Piasevoli

Director Of Data Science @ Transfix

About Filip Piasevoli

Filip Piasevoli serves as the Director of Data Science at Transfix, where he has worked since 2023. With over six years of experience in data science, he has a strong background in building relationships with various stakeholders and leading teams in machine learning and software engineering.

Work at Transfix

Filip Piasevoli currently serves as the Director of Data Science at Transfix, a digital freight marketplace, since 2023. In this role, he leads a team of three data scientists, focusing on machine learning and software engineering. His responsibilities include developing a vision to enhance core marketplace functions by integrating data models into products. Prior to his current position, he worked at Transfix as a Senior Data Scientist II from 2017 to 2022 and as a Staff Data Scientist for eight months in 2022.

Education and Expertise

Filip Piasevoli holds a Master's Degree in Computational Science and Engineering from Harvard University, which he completed from 2014 to 2015. He also earned a Bachelor's Degree in Mathematics from Boston College, where he studied from 2010 to 2014. His educational background provides a strong foundation in quantitative analysis and data-driven decision-making.

Background

Filip Piasevoli has over six years of experience in data science and analytics. His career includes significant roles at Transfix and 1010data, where he worked as a Data Scientist from 2015 to 2017. He has also held positions as an Analyst Intern and Undergraduate Research Assistant during his studies. His experience includes building relationships with executive leadership, data professionals, and software engineers.

Achievements

Throughout his career, Filip Piasevoli has developed a vision to enhance marketplace functions through data integration. His leadership at Transfix involves guiding a team of data scientists to implement machine learning solutions. His previous roles have contributed to his expertise in data science and analytics within the logistics and freight industry.

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