Armand Leopold is a French engineer and data leader with 11 years of experience building data platforms, driving data quality programs, and founding a SaaS-enabled data quality company, QALITA. He combines hands-on skills in data engineering, DevOps and machine learning with leadership roles at Institut Curie and as head of a Data Factory, delivering clinical data warehouses and contributing to a Nature Medicine publication. At Thales and Crédit Agricole he applied ML, NLP and analytics to operational and defense problems, and he now advises France’s health sector as a member of ANAP’s Expert Data network. Comfortable bridging research, product and operations, he also brings entrepreneurial grit from restructuring a junior enterprise and scaling a commercial data-quality platform. An avid lifelong learner, he holds specialized certifications in cloud DevOps, deep learning and data governance in addition to an MEng in Computer Science/Big Data.
11 years of coding experience
6 years of employment as a software developer
Cloud DevOps Engineer Nanodegree Program Cloud Computing, Cloud DevOps Engineer Nanodegree Program Cloud Computing at Udacity
Master of Engineering - MEng Computer Science / Big Data, Master of Engineering - MEng Computer Science / Big Data at ESIGELEC : ÉCOLE D'INGÉNIEURS-ES GÉNÉRALISTES
Gouvernance des données Data Managment, Gouvernance des données Data Managment at Capgemini Institute
Applied Data Science with Python Data Science, Applied Data Science with Python Data Science at University of Michigan
Deep Learning Artificial Intelligence, Deep Learning Artificial Intelligence at deeplearning.ai
Baccalauréat Technologique Electrotechnique, Baccalauréat Technologique Electrotechnique at Lycée Marie Curie Nogent-sur-Oise
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