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Nathaniel Braun
Data analytics team leader at Criteo
Professional Background
Nathaniel Braun is a highly skilled engineer and data analytics expert with a diverse and impressive background in mathematics, software engineering, and data science. Currently leading a dedicated data analytics team at Criteo, Nathaniel has harnessed his extensive knowledge and experience to drive impactful results in the field of data analytics. With a formative career that showcases his growth from a quantitative analyst to a team leader, Nathaniel's influence is notable across various high-profile organizations.
Before taking on his current role, Nathaniel gained invaluable experience as a Senior Software Engineer at Amazon Web Services, where he contributed to innovative projects with cutting-edge technology. His prior position as a Senior Software Engineer at Amazon Lab126 further honed his technical skills in creating robust software solutions. In the data-driven world of marketing, Nathaniel excelled as a Senior Lead Data Scientist at Criteo, demonstrating his ability to translate complex data insights into actionable strategies that drive revenue growth for clients.
His journey in the technology domain also includes significant stints as a Senior Site Reliability Engineer and Site Reliability Engineer at Criteo, where he focused on ensuring the reliability and performance of large-scale systems. Nathaniel's versatile career is complemented by his foundational work as a Risk Consultant at Deloitte, Model Engineer at Brightsource Energy, and Quantitative Analyst at both J.P. Morgan Chase & Co. and Schroders, underlining his well-rounded expertise in quantifying risk and leveraging data for decision-making.
Education and Achievements
Nathaniel Braun's academic credentials are equally as impressive as his professional trajectory. He holds a Master of Science in Mathematics from the prestigious California Institute of Technology (Caltech), which is renowned for its rigorous curriculum and leading-edge research opportunities. This degree equipped Nathaniel with strong analytical skills and a solid foundation in theoretical mathematics.
Alongside his studies at Caltech, Nathaniel further expanded his expertise by obtaining another Master of Science from Université Paris Diderot, solidifying his academic credentials in mathematics. He also pursued a specialized Master of Science in Mathematics and Software Engineering at Mines ParisTech, one of the top engineering schools in France, known for producing highly skilled engineers equipped for the competitive tech industry.
Nathaniel's educational journey began with a Bachelor of Science in Mathematics, Computer Science, and Physics, which provided him with a comprehensive understanding of the fundamental principles of these disciplines. This well-rounded foundation has been instrumental in shaping his analytical mind and technical capabilities, enabling him to excel in various roles throughout his career.
Notable Achievements
Throughout his career, Nathaniel has demonstrated a commitment to excellence and innovation. His work has played a significant role in the successful deployment of data-driven solutions and engineering processes that aid organizations in making informed decisions. While leading his data analytics team at Criteo, Nathaniel has not only driven productivity but also fostered a culture of collaboration and creativity, leading to the development of transformative data products.
With a keen understanding of both theoretical knowledge and practical application, Nathaniel is highly regarded among his peers and in industry circles, and he actively contributes to the advancement of data analytics and software engineering. His journey reflects a perfect blend of academic achievements and professional accomplishments, highlighting Nathaniel Braun as a remarkable leader in the data analytics space.