Freelancer profile translated to English.
Back to original languageAbout Emmanuel
With a scientific background (Master's in Neuroscience, Bachelor's in Physics and Chemistry), I trained in machine and deep learning using Python. I can handle various stages of the artificial intelligence pipeline:
Data Retrieval:
- Scraping (beautifulsoup, selenium, scrapy, splash), using tools that facilitate scraping like zyte.com. Scraped sites: google, fnac, cultura, amazon, etc.
- Calling various APIs: google sheet, pipedrive, pubmed, etc.
Data Processing:
- Reading files of different formats: json, csv, text, excel
- Data cleaning and processing with pandas and numpy
- Storing data in databases: mongoDB, DocumentDB, PostgreSQL, supabase
Data Visualization
- Python visualization libraries: matplotlib, seaborn, plotly
- Dashboard generation with PowerBI (Microsoft) and QuickSight (AWS)
Data Analysis, Prediction, and Classification
- Using sklearn and statsmodels for data analysis
- Training pre-trained deep learning models with tensorflow and pytorch for sentiment classification (NLP)
- Using chatgpt for Question Answering with a vector database (FAISS, pinecone, etc.)
Containerized Application Creation (docker)
- Creating APIs with Flask, FastAPI
- Creating applications with streamlit and Flask, deployment on AWS (lambda, API gateway, S3, SQS)
Automation
- n8n
- Make
AI Agent Creation with:
- langchain/langraph
- llamaindex
Automation Pipeline Creation with Make.com
CI/CD: gitlab, serverless framework
French
Native or bilingual
Japanese
Basic
English
Fluent
Remote only
Primarily works remotely
Experience
- ZénithIA
On Malt
HSE Audit AutomationDIGITAL AND ITDecember 2025 - June 2026 (5 months)Report automation for consultant company using n8n workflows:- LLM evaluation to filter relevant procedure
- Audio transcription
- Powerpoint generation
- PropheticChatbot SaaS ProductLUXURY GOODSOctober 2025 - Today (10 months)Paris, France› Building Prophetic Orchestra 7.5 — a luxury investment advisor chatbot SaaS› Frontend: Next.js 15 App Router, TypeScript, Tailwind CSS› Backend: Python, FastAPI, LangChain, Supabase, multi-scraper with Scrapy — fully decoupled architecture› AI: Predictive model of artist valuation
- ZénithIAProcess AutomationCONSULTING AND AUDITSDecember 2025 - January 2026 (1 month)Paris, France› Developed n8n workflows to automate processing of SharePoint data, Excel files and regulatory information› Automated extraction and transformation of Excel data for compliance and regulation mapping› Automated transcript generation from processed data for documentation and reporting
Reviews
B
Beauce
OMD
Reviewed on 2/17/2025
Emmanuel Thiéry, our data scientist at Sfumato, is a true architect of innovation. After a year of R&D, he designed and developed Sfumato AI, an application that works perfectly and transforms art market analysis. His technical mastery and data-driven vision are impressive. His expertise covers every aspect of the project with remarkable precision and rigor. Huge congratulations for this success, which marks a major advance for Sfumato!
Anthony
Concedo - Guideline
Reviewed on 10/30/2023
Very good experience with Emmanuel. He is very organized, fast, and knows how to adapt.
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Education
- Various online coursesInternet2016
Certifications
- Reinforcement Learning SpecializationUniversity of Alberta, Alberta Machine Intelligence Institute2022