Loris D'acunto

Loris D'acunto

Head Of Innovation And Chief Data Scientist @ DeepSee.ai

About Loris D'acunto

Loris D'acunto serves as the Head of Innovation and Chief Data Scientist at DeepSee.ai, where he has worked since 2021. He has a background in data science and technology, with previous roles at Accenture, Axwave Inc, and as a founder of multiple companies.

Current Role at DeepSee.ai

Loris D'acunto serves as the Head of Innovation and Chief Data Scientist at DeepSee.ai since 2021. In this role, he leads initiatives focused on advancing the company's data science capabilities and innovative solutions. His expertise in natural language processing (NLP) plays a key role in developing cloud-agnostic architectures that can efficiently process large volumes of data.

Previous Experience at Accenture

Prior to his current position, Loris D'acunto worked at Accenture as a Technical Director from 2020 to 2021 in London. He also held the role of Senior Consultant Technology – Banking from 2000 to 2004. His tenure at Accenture involved overseeing technology projects and providing strategic insights to enhance banking operations.

Entrepreneurial Ventures

Loris D'acunto has a background in entrepreneurship, having founded and served as Managing Director at Bway srl from 2004 to 2010 in Padua, Italy, and RemoteValue srl from 2008 to 2011. He also co-founded DeepForecast Inc, where he held the position of CTO from 2018 to 2020 in London, and Axwave Inc, serving as CTO from 2012 to 2017 in Menlo Park, California.

Educational Background

Loris D'acunto earned a Master's degree in Nuclear Physics from Università degli Studi di Trieste, studying from 1993 to 1998. He furthered his education by obtaining a Master’s Degree in Data Science from UC Berkeley School of Information, where he studied from 2015 to 2017. His academic background provides a strong foundation for his work in data science and technology.

Technical Innovations and Contributions

Loris D'acunto has engineered significant technical innovations, including a cloud-agnostic architecture capable of processing millions of emails daily using natural language processing (NLP). He also designed an active learning labeling system that classifies thousands of emails within a few hours, showcasing his expertise in machine learning and data processing.

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