Freelancer profile translated to English.
Back to original languageAbout Daniel
Hello,
I am a graduate of the X-HEC Data Science for Business master's program.
My technical areas of expertise are as follows:
- Recommendation Systems: Implementation of a system to recommend products based on customer behavior, such as clicks, likes, views, etc...
- NLP: Understanding human language to analyze text sentiment, summarize or classify documents.
- Predictive Analytics: Analyzing tabular data to better understand the data, potentially to predict a variable, such as future revenue, inventory, etc...
- Calculations on confidential data, with experience in confidential computing and homomorphic encryption.
With a strong learning capacity, I can also level up in an area that particularly concerns your company.
Furthermore, I can also assist in the development of a business plan to better define what products, KPIs, etc., your company could implement, based on your strategy and the data you currently possess.
I also have the ability to simplify complex technical topics, and my Medium blog (has over 30,000 views on popular science articles, whether in Bayesian Neural Networks or homomorphic encryption.
My work tools are:
- Python, including Scikit-Learn, pyTorch, and Fastai for machine learning and deep learning, pandas for data management, and matplotlib, seaborn, and facets for visualization.
- Azure for the Cloud solution, including AI solutions like Azure Text Analytics, Computer Vision, or Speech To Text, storage solutions like CosmoDB, or Data Science VMs for model training.
- NodeJs and Flask for backend development to integrate these machine learning solutions with a REST API
English
Native or bilingual
German
Conversational
Italian
Fluent
Vietnamese
Basic
Can work on-site
Paris (up to 50km), Paris (up to 20km), Palaiseau (up to 20km)
Experience
- MicrosoftData ScientistSOFTWARE PUBLISHINGApril 2020 - September 2020 (6 months)Worked on the implementation of privacy friendly Machine Learning models, using state of the art techniques such as Homomorphic Encryption, Secure Multi Party Computation and Trusted Execution Environments.- Wrote a paper on the adaptation of Random Forests to fit the Homomorphic Encryption paradigm, available at https://arxiv.org/abs/2006.08299- Implemented Cryptotree available at https://github.com/dhuynh95/cryptotree- Wrote a serie of articles on Homomorphic Encryption, available at https://medium.com/@dhuynh95/homomorphic-encryption-intro-part-1-overview-and-use-cases-a601adcff06c
- Naox TechnologiesData ScientistHEALTH AND WELLNESSApril 2019 - September 2020 (1 year and 5 months)Paris, FranceNaox is a young startup developping earphones with EEG sensors, which allow to record brain biomedical data. My tasks were the following:- Setup of a Cloud backend in Azure for EEG recording and manipulation- Pitch of the startup, investor seeking and helped the redaction of a patent- Developed a framework around Fastai and Pytorch to make the training of unsupervised models easier by customizing the training loop, and wrote a Medium article to share results.In addition, we participated and won the MIT Grandhack Medecine 2019 Paris, with the Deeptech Special prize, and the second price in Mental Health.
- BNP PARIBASData ScientistBANKING AND INSURANCEJune 2018 - August 2018 (3 months)Rome, Italy
Reviews
Aurélien
Biogen France SAS
Reviewed on 12/31/2020
Daniel is very professional. His determination to move projects forward is a great strength!
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Education
- X-HEC Graduate Degree Data Science for BusinessEcole polytechnique - HECLe Graduate Degree Data Science for Business est un programme crée en partenariat avec HEC et l'X, dans le but de former des Data Scientists ayant à la fois un bagage technique avancé, mais aussi une formation entrepreneuriale et business. La première année se déroule à l'X pour les cours techniques, puis la seconde année à HEC pour la partie business.
- Ingénieur polytechnicienEcole polytechniqueCycle ingénieur polytechnicien de la promotion X2016. Admission par voie universitaire, classement d'entrée 14ème.
Certifications
- Deep learningStanford2018