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Data Scientist | ||
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<div id="webaddress"> | ||
<a href="[email protected]">[email protected]</a> | ||
<a href="[email protected]">[email protected]</a><br> | ||
(+33) 6 29 22 32 49 | ||
</div> | ||
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## Skills | ||
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`Machine Learning` | ||
__Machine Learning__ | ||
Attentively design machine learning models based on data understanding and analysis through an investigation of the business. | ||
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`MLOps` | ||
* -- Specialized in time serie modeling: univariate/multivariate, multi-horizon. | ||
* -- Develop custom web applications to be used both internally and by the final client (dash, shiny). | ||
* -- Document and communicate data analysis using notebooks: jupyter notebooks or rmarkdown. | ||
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__MLOps__ | ||
Design architecture and deployment of MLOps services. | ||
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`Project Direction` | ||
* -- Build operational pipeline in collaboration with dataOps team to automatically train, predict and observe new data. | ||
* -- Create dashboard to monitor models and their performance (grafana or custom dashboards). | ||
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__Project Direction__ | ||
Proven ability to lead and manage a wide variety of design and development projects in team and independent situations. | ||
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* -- Organize ML projects in collaboration with project managers | ||
* -- Lead technical interviews for new recruitees. | ||
* -- Animates ML team in an agile environment (daily meetings, sprints, code review, pair programming, etc.). | ||
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## Technical | ||
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`Python, R` | ||
Python, R | ||
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`git` | ||
git | ||
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`Linux, OSX` | ||
Linux, OSX | ||
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`Docker` | ||
Docker | ||
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`AWS (ec2, s3, dynamodb)` | ||
AWS (ec2, s3, dynamodb) | ||
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## Experience | ||
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`Sept 2019 - Present` | ||
__Centreon__, remote | ||
`2019 - 2022` | ||
__Data Scientist__, Centreon (Paris/remote) | ||
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Design, develop and deploy the first Machine Learning cloud services with Centreon. | ||
Design, develop and deploy the first Machine Learning cloud services. | ||
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`Dec 2016 - Aug 2019` | ||
__Datapole__, remote | ||
* -- Create the first ML service within the company for anomaly detection. | ||
* -- 200 models trained in production each day, 8 clients served. | ||
* -- Democratized AI within the company and outside through presentations at conferences (POSS 2019, Opensource Experience 2020), meetups (DevOps Geneva 2021), school courses (EPITECH 2020 and 2021, ESGI 2022, Epita 2021) and internal meetings. | ||
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Manage a team of 5 data scientists and 1 data engineer. | ||
`2016 - 2019` | ||
__Lead Data Scientist__, Datapole (Paris/remote) | ||
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`Apr 2016 - Dec 2016` | ||
__Datapole__, Paris | ||
Create and deploy ML services, organize project and lead the data team. | ||
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Develop machine learning models for time serie analysis. | ||
* -- Develop a parallelized autoML algorithm able to pick the right model for a given time serie dataset. | ||
* -- Create custom applications for a top tier client on text analysis (clustering and sentiment analysis about technical topics). | ||
* -- Accompanied a team of 5 data scientists and a data engineer to help develop the SaaS platform. | ||
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## Education | ||
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@@ -64,5 +80,3 @@ __Engineering School Chemistry__, École Nationale Supérieure de Chimie de Lill | |
<!-- ### Footer | ||
Denis Roussel -- [[email protected]]([email protected]) -- +33 6 29 22 32 49 --> | ||
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