Benjamin Larrousse
Verified Expert in Engineering
Data Science Developer
Paris, France
Toptal member since July 10, 2020
Benjamin is a talented senior data scientist who earned a Ph.D. in applied mathematics and has a strong focus on optimization and game theory. He uses expert-level analytics skills to deliver data and predictions, enabling clients to make strategic decisions that benefit profits as well as customers. He recently implemented Recurrent Neural Networks to predict purchases with 95% accuracy. Benjamin is passionate about science and loves using mathematics to make the world a better place.
Portfolio
Experience
- Mathematics - 8 years
- SQL - 6 years
- Machine Learning - 6 years
- Data Science - 6 years
- Python 3 - 6 years
- TensorFlow - 3 years
- Keras - 3 years
- Deep Learning - 3 years
Preferred Environment
Google Cloud Platform (GCP), BigQuery, Scikit-learn, SQL, Keras, TensorFlow, Jupyter Notebook, Python
The most amazing...
...Recurrent Neural Network I've implemented used TensorFlow on the Google Cloud Platform to predict the probability of purchases with 95% accuracy.
Work Experience
Senior Data Scientist
YSANCE
- Implemented a Recurrent Neural Network to predict purchases with 95% accuracy.
- Designed and successfully put into production a recommender system for retailers.
- Finalized various proof-of-concept projects to help retailers make use of their data.
Data Scientist
VOODOO
- Uncovered general trends for the first mobile game of the company with in-depth, descriptive statistics.
- Developed churn prediction and other mathematical applications to improve mobile games.
- Managed user acquisition on Facebook ads networks and Google Adwords for four mobile apps in over 20 countries.
Experience
A Data Perspective: Is it Possible to Defend Against Messi?
https://github.com/BenjaminLarrousse/statsbomb-messiEducation
Ph.D. in Applied Mathematics
Université Paris Sud XI - Paris, France
Certifications
Introduction to Football Analytics
StatsBomb
Deep Learning with TensorFlow
Big Data University
Data Science Methodology
Big Data University
Machine Learning
Coursera
Skills
Libraries/APIs
TensorFlow, Keras, Scikit-learn, Pandas, Matplotlib
Tools
TensorBoard, MATLAB, BigQuery
Languages
Python 3, SQL, Python
Paradigms
Data-driven Methodology, Scrum
Platforms
Jupyter Notebook, Google Cloud Platform (GCP)
Other
Mathematics, Game Theory, Machine Learning, Data Science, Research, Information Theory, Optimization, Deep Learning, Artificial Intelligence (AI), Algorithms, Football, Sports, Analytics
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