Florian Riche
Verified Expert in Engineering
Data Science Developer
Florian is a full-stack data scientist with a broad understanding of business problems. He has worked in multiple sectors (education, retail, luxury, civil engineering, agribusiness, and insurance), and work environments (public institutions, consulting firms, startups, and large corporations). He has developed a solid best practices methodology on tackling unique problems, and has a knack for explaining key solutions to stakeholders.
Portfolio
Experience
Availability
Preferred Environment
GitHub, Git, Jupyter, Visual Studio Code (VS Code), Linux
The most amazing...
...project I've built was a fraud detection tool for an insurance company using prediction models with a strong emphasis on interpretability.
Work Experience
Data Scientist
The Green Data
- Created a predictive model to detect manufacturing defects in a food processing plant.
- Created a predictive model to assess the environmental sustainability performance of agricultural exploitations.
- Created a predictive model to assess the financial performance of agricultural businesses and automatically list potential improvements.
Front-end Developper
Shopvious
- Implemented a Node API communicating with a Hyperledger blockchain.
- Created a web interface to create and manage blockchain assets.
- Created a mobile application to manage blockchain assets on a customer viewpoint.
Data Scientist
Carrefour
- Developed an eCommerce recommendation system.
- Created a predictive model for churn prediction.
- Led the team and introduced best practices.
- Implemented deduplication jobs using graph algorithms.
- Implemented a shared library for the whole team.
- Studied the impact of weather conditions on customer behaviors.
Data Scientist
Altaroad
- Increased the previous algorithm processing speed by ten times the original amount.
- Created and fixed real-world tests on an IoT pipeline.
- Analyzed weak signals using multidimensional visualizations.
Data Scientist
Impala
- Hired as the first employee of an edtech startup.
- Developed audience tracking and data analysis.
- Developed text mining for recommandation purposes.
- Oversaw the back-end, and front-end development.
- Designed a recommandation algorithm to push recommendations to users.
Data Scientist
EY Analytics
- Designed and implemented solutions in projects with a strong emphasis on model interpretability.
- Created a fraud-detection solution for an insurance company.
- Used graph analysis to detect fraud, and helped fight money-laundering in a bank with those efforts.
Experience
European Data Science Olympics
This data science competition lasted two hours, and had over 1000 contestants.
Skills
Libraries/APIs
Pandas, Scikit-learn, React, Node.js, PySpark, PyTorch, Keras, D3.js
Paradigms
Data Science
Languages
Python 3, SQL, Python, Go, Java
Storage
PostgreSQL, Elasticsearch, Amazon S3 (AWS S3)
Other
Statistics, Machine Learning, Data, Science, Data Visualization, Google BigQuery
Frameworks
Django, React Native, Spark
Tools
Jupyter, Git, GitLab, GitHub, DataViz, Plotly
Platforms
Docker, Linux, Hyperledger Fabric, Amazon Web Services (AWS), Google Cloud Platform (GCP), Amazon EC2, Jupyter Notebook, Visual Studio Code (VS Code)
Education
Master's of Science Degree in Computer science
IMT Atlantique - Nantes, France
Master's of Science Degree in Data Science
Telecom ParisTech - Paris, France
Exchange Semester (Progress towards a Bachelor’s Degree) in Computer Science and Financial Mathematics
University of Liverpool - Liverpool, England
Certifications
Deep Learning Specialization
Coursera
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