Edouard Argenson
Backend developer at Datapred- Claim this Profile
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Français Native or bilingual proficiency
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Anglais Full professional proficiency
Topline Score
Bio
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Credentials
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Big Data Analysis with Scala and Spark
CourseraJul, 2017- Sep, 2024 -
Parallel programming
CourseraJun, 2017- Sep, 2024 -
Functional Programming Principles in Scala
CourseraMay, 2017- Sep, 2024
Experience
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Datapred
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Switzerland
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Software Development
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1 - 100 Employee
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Backend developer
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Nov 2020 - Present
Machine learning for time series software, applied to procurement. - design and implement APIs to expose modelisations and results. - deploy and maintain modelisations in production. - contribute to the back-end infrastructure and machine-learning pipelines. - implement new features and indicators. Machine learning for time series software, applied to procurement. - design and implement APIs to expose modelisations and results. - deploy and maintain modelisations in production. - contribute to the back-end infrastructure and machine-learning pipelines. - implement new features and indicators.
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INGENIANCE
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France
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IT Services and IT Consulting
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1 - 100 Employee
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IT Quantitative Consultant
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Apr 2018 - Aug 2020
BNP Paribas Asset Management - development of an index pricer. The aim is to provide independent counter-valuations for indexes replicating quantitative investment strategies. Worked on multi-asset strategies, option-portfolios, smart beta (factor investing), rolling of futures, yield-curves, FXs investment. - implementation and backtest of valuation algorithm. - implementation of automatic data acquisition and management from providers (Bloomberg, Datastream, Ubix). Technical environment : Java, Apache Subversion (SVN), SQL.
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Krakatoa
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Information Technology & Services
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Deep Learning Research Intern
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Apr 2016 - Sep 2016
Deep learning for image classification. Experiments with a semi-supervised classification algorithm, the ladder network. Performance review, comparative and extensive study of the different parts of the network. Customized the network to perform image generation and image denoising. Comparative study of different implementations, optimization. Deep learning for image classification. Experiments with a semi-supervised classification algorithm, the ladder network. Performance review, comparative and extensive study of the different parts of the network. Customized the network to perform image generation and image denoising. Comparative study of different implementations, optimization.
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Thales
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United States
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Financial Services
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1 - 100 Employee
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Signal Processing Intern
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Jul 2015 - Aug 2015
Study and optimization of an algorithm for the processing of radar signals. Proposed a new implementation of the algorithm. Octave language. Study and optimization of an algorithm for the processing of radar signals. Proposed a new implementation of the algorithm. Octave language.
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Eurofins
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Luxembourg
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Biotechnology Research
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700 & Above Employee
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Data Analyst Intern
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Jul 2014 - Aug 2014
Quality survey analysis for the food industry. Computation of statistics to improve the conversion rate of quality surveys enrollment. Data mining with SQL. Data analysis with Excel. Quality survey analysis for the food industry. Computation of statistics to improve the conversion rate of quality surveys enrollment. Data mining with SQL. Data analysis with Excel.
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Safran
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France
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Aviation and Aerospace Component Manufacturing
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700 & Above Employee
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Worker internship
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Jun 2013 - Jul 2013
Test operator on electronic circuits Test operator on electronic circuits
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Education
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CentraleSupélec
Diplôme d'ingénieur, Apprentissage automatique et traitement de données -
Université de Lorraine
Master 2 (M2), Mathématiques appliquées -
Collège Stanislas
Sciences -
Lycée Privé Sainte-Geneviève
Sciences