Publication
Python Machine Learning Prediction With a Flask REST API
https://www.toptal.com/developers/python/python-machine-learning-flask-example
Guillaume is currently unavailable
Guillaume Ferry
Verified Expert in Engineering
Data Scientist and Developer
Paris, France
Toptal member since August 22, 2017
Bio
As an experienced machine learning practitioner (Kaggle expert), data engineer, and architect, Guillaume builds AI applications and systems for clients. He develops statistical models, ETL jobs, APIs, and basic front ends, and researches new solutions and approaches for algorithm scaling.
Portfolio
Gigafactory in France
Azure DevOps, Computer Vision, Retrieval-augmented Generation (RAG)...
Startup for Beverages Management in France
PostgreSQL, SQLAlchemy, Amplitude, AWS Lambda, Flask, Amazon EC2, Elasticsearch...
BCG
Amazon SageMaker, Docker, Data Build Tool (dbt), Snowflake, TensorFlow...
Experience
- SQL - 10 years
- Scikit-learn - 10 years
- Python - 10 years
- Amazon Web Services (AWS) - 5 years
- Flask - 5 years
- TensorFlow - 5 years
- Spark - 5 years
- Tableau - 2 years
Preferred Environment
Amazon Web Services (AWS), Jupyter, SQL, Python, Linux, Flask
The most amazing...
...thing I've done was implement a vector database POC with search capabilities in 2018.
Work Experience
Data Project Manager
2024 - 2025
Gigafactory in France
- Served as a project manager/product owner on AI and computer vision projects.
- Led a team of 3-7 research data scientists in an Azure/Databricks environment.
- Developed a POC for data compression and prepared a preliminary dataset for an LLM RAG application.
Technologies: Azure DevOps, Computer Vision, Retrieval-augmented Generation (RAG), Anomaly Detection, Data Science, Large Language Models (LLMs)
Senior Data Engineer
2024 - 2024
Startup for Beverages Management in France
- Cut all memory overflows from the application's back end.
- Improved the application's search engine (Elasticsearch).
- Implemented Slack alerts based on AWS logs and developed in PostgreSQL/SQLAlchemy.
Technologies: PostgreSQL, SQLAlchemy, Amplitude, AWS Lambda, Flask, Amazon EC2, Elasticsearch, Pandas
Data Scientist, Global Marketing
2019 - 2021
BCG
- Deployed two fully customized recommender system APIs for BCG.com.
- Implemented A/B testing and benchmarked against AWS Personalize.
- Contributed to the website data migration and marketing Tableau dashboards.
Technologies: Amazon SageMaker, Docker, Data Build Tool (dbt), Snowflake, TensorFlow, Scikit-learn, Pandas, Data Science, Amazon API Gateway, Amazon DynamoDB
Freelance Data Engineer and Architect
2018 - 2019
Johnson & Johnson
- Set up the data lake architecture to host source data.
- Connected the data lake to an IoT platform through API.
- Wrote transformation and loading scripts for feeding an application database.
Technologies: Spark, AWS Lambda, AWS Glue
Freelance Data Lab Data Scientist | Architect
2018 - 2018
Johnson & Johnson
- Set up the back-end architecture for operationalizing a machine-learning PoC to an MVP.
- Developed the ETL for retrieving and updating public data sources.
- Created a search engine API based on the Word2Vec model (state of the art in NLP at the time).
Technologies: Amazon Web Services (AWS), PostgreSQL, Flask, Scikit-learn, Gensim, Word2Vec, Python, Machine Learning, Natural Language Processing (NLP)
Freelance Senior Data Scientist
2017 - 2018
Credit Insurance Company (via Toptal)
- Developed a data exploration with Python and Jupyter.
- Reviewed the company strategy with the founders after extracting insights from the data.
- Set up starter machine learning models with Jupyter.
Technologies: Scikit-learn, Jupyter, Python
Analytics Consultant
2017 - 2017
Reinsurance Company in Paris
- Designed the data architecture of the business service.
- Developed POC/MVP applications in Qt/R, including an ETL tool.
- Promoted data science and machine learning approaches.
Technologies: Microsoft SQL Server, R, Qt
Manager | Data Scientist
2015 - 2016
A Global Management Consulting and Professional Services Company
- Developed an optimization prototype for a clearing bank in Python / CPLEX, in partnership with MIT.
- Architected and modeled data for a new business service.
- Developed a mobile payment application, involving data lake specifications coordination, data strategy definition, and report prototyping.
- Worked on the data science commercial offer for the banking sector.
Technologies: Tableau, SQL, Scikit-learn, CPLEX, Python
RTB Data Scientist
2015 - 2015
Twenga
- Built predictive models.
- Worked with machine learning.
- Conducted AB testing in Python.
Technologies: Scikit-learn, SQL, Python
Developer of Real-time Prediction of Train Delays
2014 - 2014
SNCF (French Railways) | R&D, Statistics, Econometrics, and Data-mining
- Developed a Python prototype for real-time prediction of train delays—from the IT architecture to coding and integration.
Technologies: Scikit-learn, MySQL, Python
Developer (Prototype Pushing Personalized Press Articles)
2013 - 2014
Ownpage | Full-year Scholar Project
- Coded a multithreaded Java crawler, Lucene indexer, and retriever.
- Installed and maintained the production environment.
Technologies: Apache, MySQL, Ruby on Rails (RoR), JRuby, Ubuntu, Apache Lucene, Multithreading, Java
Transformation Program Analyst for Euler Hermès
2011 - 2013
Business Consulting Company
- Acted as the roll-out coordinator in Germany—involving project management, training, and technical/functional advising for one year.
- Designed the functional architecture. Consulted on IT for a subsidiary roll-out (business need, functional specifications, parameters set up).
- Reworked the business processes of contract management departments of the subsidiaries (Hamburg, London, Rome, Brussels, and Paris) with a Lean-Six Sigma approach.
Technologies: Microsoft PowerPoint, Microsoft Excel
Technical Business Analyst
2007 - 2011
BNP Paribas Cardif
- Mapped back-office processes and implemented improvements.
- Developed dashboards and Excel, Access, and VBA tools.
- Process mapped and implemented indicators and controls for subsidiaries to cover critical IT risks.
Technologies: SQL, Microsoft Excel, Microsoft Access, Visual Basic for Applications (VBA)
Auditor
2007 - 2007
CA CIB | Back-office
- Audited for quality and regulatory compliance.
- Developed an Access database for cross-analysis of risks vs controls.
Technologies: Visual Basic for Applications (VBA), Microsoft Access
Experience
Kaggle Competition Expert
https://www.kaggle.com/guillaumeferry/competitionsKaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.
ACHIEVEMENTS
• Facebook Challenge (IV): Reached the top 7%.
• Wikipedia Web Traffic Time Series Forecasting: Reached the top 8%.
ACHIEVEMENTS
• Facebook Challenge (IV): Reached the top 7%.
• Wikipedia Web Traffic Time Series Forecasting: Reached the top 8%.
Recommender System APIs for BCG.com
Deployed two fully customized recommender system APIs for BCG.com.
One was for article recommendation according to a user's history, the other was a "similar article" (purely based on content).
Implemented A/B testing and benchmarked against Amazon Personalize.
One was for article recommendation according to a user's history, the other was a "similar article" (purely based on content).
Implemented A/B testing and benchmarked against Amazon Personalize.
Education
2013 - 2014
Master of Science Degree in Machine Learning, Big Data, and Statistics
Télécom Paris - Paris, France
2005 - 2006
Participated as an Exchange Student in Industrial Engineering
Concordia University - Montreal, QC, Canada
2002 - 2006
Engineer's Degree in Industrial Engineering
Ecole Mines of Douai - Douai, France
Certifications
DECEMBER 2013 - PRESENT
Machine Learning
Stanford University via Coursera
Skills
Libraries/APIs
Scikit-learn, TensorFlow, Apache Lucene, Keras, SQLAlchemy, Pandas, NumPy
Tools
Jupyter, Microsoft Access, Microsoft Excel, Microsoft PowerPoint, CPLEX, Apache, Gensim, AWS Glue, Tableau, Amazon SageMaker
Languages
Python, SQL, R, Visual Basic for Applications (VBA), JRuby, Java, Snowflake
Frameworks
Flask, Spark, Ruby on Rails (RoR), Qt, Hadoop
Platforms
Amazon Web Services (AWS), Linux, Ubuntu, Amazon EC2, AWS Lambda, Docker
Paradigms
Azure DevOps, Anomaly Detection
Storage
MySQL, Microsoft SQL Server, PostgreSQL, Elasticsearch, Amazon DynamoDB
Other
Data Science, Multithreading, Word2Vec, Data Build Tool (dbt), Amplitude, Computer Vision, Retrieval-augmented Generation (RAG), Amazon API Gateway, Large Language Models (LLMs), Machine Learning, Natural Language Processing (NLP), Data Engineering
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