Freelancer profile translated to English.
Back to original languageAbout Gabriel
Independent for more than three years, I work with start-ups, SMEs, large groups and public administrations to use my varied skills to solve a multitude of exciting problems using data.
After research experience, software development and data analysis, I can intervene on a wide spectrum of subjects.
I am an engineer from École Polytechnique, specializing in statistics, data science and machine learning. Here are the technologies I use regularly:
- Languages: Python, Javascript
- Data visualization: d3.js, matplotlib
- Machine learning: Scikit-learn, xgboost, networkx, kmapper
- Deep learning: Tensorflow, Keras
- Data analysis: Pandas, Numpy, Scipy
- Data Scraping: Scrapy, BeautifulSoup, Selenium
- Web/Mobile Applications: React.js, React-Native
- Backend: Node.js, Flask, AWS, OVH
- Databases: MongoDB, SQL, InfluxDB, PostgreSQL
You can contact me for the construction of predictive algorithms, recommendation, data analysis and the implementation of artificial intelligence solutions.
English
Fluent
French
Native or bilingual
German
Conversational
Can work on-site
Berlin (up to 50km)
Experience
- Ministère de l'Économie et des Finances - DGCCRFData ScientistPUBLIC SECTORJanuary 2019 - January 2021 (2 years)Paris, FranceMission: Improve consumer confidence by detecting fake reviews on the InternetDevelopment of a tool for investigators of the Directorate General for Competition, Consumer Affairs and Fraud Control to detect suspicious reviews among comments, ratings or other evaluations publicly available on the Internet.Definition of metrics from suspicion indicators, development of algorithms for the aggregation of indicators (unsupervised learning), analysis of review graphs, text mining for the analysis of comments.
- Research to business
On Malt
Writing technical specificationsCONSULTING AND AUDITSApril 2018 - July 2018 (3 months)Paris, FranceWriting technical specifications on a Computer Vision topic, for the constitution of a public funding file:- technical objectives,- hazards, scientific uncertainties and technological locks - Kalos DataData scientistSOFTWARE PUBLISHINGApril 2018 - May 2018 (1 month)Paris, FranceAnalysis of retailers' sales data.Realization of an auto-regressive RNN prediction tool.Study of correlations with external data.
Reviews
Recommendations
OG
FU
+1
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Education
- Learn2Launch entrepreneurship programUC Berkeley2017Spécialisation entrepreneuriale de quatrième année de l'École polytechnique avec UC Berkeley
- Ingénieur polytechnicienÉcole polytechnique2017Diplôme d'ingénieur de l'École polytechnique Spécialisation en statistiques, data science/machine learning et entrepreneuriat
Certifications
- Neural Networks for Machine LearningUniversity of Toronto2017