Freelancer profile translated to English.
Back to original languageAbout Michael
I am an engineer in computer science and applied mathematics (Ensimag), as well as a PhD in Deep learning (Sorbonne University). I have over 6 years of experience in data science, and I have worked with data from a wide variety of sources (texts, images, time series, tabular data, etc.). I also have experience with a wide variety of algorithms and technologies related to data science. With a strong background in mathematics and computer science, I can work on the theoretical/exploratory/research part of a project as well as its implementation. I also offer training, ranging from popularization to theoretical deepening.
My specialties are:
- Image: classification, detection/tracking, automatic generation (via GAN)
- Text: classification, semantic recommendation, automatic generation
- Time series: classification, temporal prediction, denoising
- Tabular data: classification, regression, explainability
In my work, I value:
- understanding the business. My experience has shown me that applying data science methodologies without a deep understanding of the data being manipulated leads to poorer results
- pedagogy. Whether it's a PoC, an analysis, or a turnkey tool, I believe that a good understanding of my work and the technology used is an integral part of the deliverable
- challenge. I particularly enjoy complex problems that can challenge my skills in general
I remain at your disposal.
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- M33Data scientistENERGY AND UTILITIESApril 2021 - December 2021 (9 months)Development of an OCR for engraved text recognition. Character detection and semantic analysis with deep learning.
- Walnut AlgorithmsCo-Founder and Data Science ResearcherAugust 2013 - Today (12 years and 10 months)Walnut Algorithms is a technology firm focused on applying the latest advances in data science and machine learning research to the financial markets. We are a team of passionate data scientists developing algorithms to drive the technological disruption brought by the advent of artificial intelligence in finance. We combine advanced machine learning techniques with financial expertise to generate medium frequency pure alpha strategies. We develop sophisticated trading models able to scale over numerous assets globally. The strategies are designed to spot intraday patterns forming in the financial markets with high levels of confidence. The large amounts of intraday data points available allow us to train robust machine learning models and avoid overfitting. Website: www.walnutalgorithms.com
- UPMC - Sorbonne UniversitiesPHD in Deep Learning for computer visionJanuary 2015 - January 2019 (4 years)Région de Paris, FranceStudy and improving Deep Learning methods in the context of image classification. - training methods (Distributed SGD) - architecture (activation function) - generalization performance (regularization with information theory) 4 articles published
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Education
- Master LMFIUniversité Denis Diderot (Paris VII)2014Théorie de modèles, théorie des ensembles, théorie des graphes, théorie de la démonstration, preuve assistée par ordinateur, calculabilité/compléxité Model theory, set theory, graph theory, demonstration theory, computer assisted proof, calculability/complexity
- Master Modélisation AléatoireIAE Grenoble2011