Freelancer profile translated to English.
Back to original languageAbout Pierre
Initially with a business background (E-commerce Degree), my digital marketing knowledge allowed me to gain several years of experience in data analysis (Web analytics) in the music industry.
After a data science bootcamp (equivalent to M1) using Python (Jedha Bootcamp), I completed several projects (Data exploration, visualization, Machine Learning, Deep Learning, and production deployment) with the goal of specializing in Machine Learning Engineering.
I can manage the various stages, from data collection to the production deployment of artificial intelligence models.
Data Retrieval:
- Via APIs: OpenWeatherMap, Twitter API, Google Sheets (...)
- Web Scraping: Scrapy, Beautifulsoup
Data Cleaning and Processing
- Pandas, Numpy
Data Visualization
- Charts: Matplotlib, Plotly, Seaborn
- Interactive Dashboards: Streamlit, Tableau
Predictions and Classification
- Machine Learning: Scikit-Learn
- Deep Learning: Transfer Learning, Tensorflow, Spacy, NLTK (Particular enthusiasm for NLP)
Data Storage:
- Cloud: AWS, Google Cloud Platform (GCP)
- SQL (PostgreSQL)
Deployment, Production
- API Design: FastAPI, Flask
- Application Design: Streamlit, Flask
- Deployment: Docker (Containerization), Heroku (Hosting), MLFlow (Monitoring)
French
Native or bilingual
English
Fluent
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Hoval francePython DeveloperENERGY AND UTILITIESMay 2022 - October 2022 (5 months)• Creation and deployment of two applications for estimating energy and material costs for potential clients (0 to 100 simultaneous connections)• Design of interfaces (UI), communication with marketing teams, testing, delivery, and maintenance.• Pair work with a data engineer to ensure good database management practices and data continuity.Tools: Python, Google Sheets API, Streamlit, Git, Docker
- Jedha BootcampData Scientist - InstructorTECHFebruary 2022 - January 2024 (1 year and 11 months)Paris, France• Supervision of over thirty group projects for trainees (Full Stack, Python)• Mentoring 10 to 40 students on theoretical and practical aspects. Setting up architectures, data collection and preparation, optimization of predictive/classification models, and deployment of applications/dashboards.• Evaluation of final training presentations and public demonstrations.Tools: Numpy, Pandas, Scrapy, AWS, Sklearn, TensorFlow, Git, FastAPI, Docker
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Education
- E-commerce DegreeUniversité Paris Est2015Marketing digital, Référencement, Web analytics et Web Design
- Data Science: VisualizationHarvardX2020Fondamentaux R et visualisation de données
Certifications
- Data Science: VisualizationharvardX2020
- Data Science Developer DesignerJedha Bootcamp2021