Benjamin Larrousse, Developer in Paris, France
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Benjamin Larrousse

Verified Expert  in Engineering

Bio

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

YSANCE
Pandas, Scrum, Google Cloud Platform (GCP), BigQuery, Jupyter Notebook, SQL...
VOODOO
SQL, Matplotlib, Scikit-learn, Python

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

Availability

Part-time

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

2017 - 2020
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.
Technologies: Pandas, Scrum, Google Cloud Platform (GCP), BigQuery, Jupyter Notebook, SQL, TensorFlow, Keras, Python

Data Scientist

2015 - 2015
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.
Technologies: SQL, Matplotlib, Scikit-learn, Python

Experience

A Data Perspective: Is it Possible to Defend Against Messi?

https://github.com/BenjaminLarrousse/statsbomb-messi
Analysis of the Messi biography dataset helped uncover insights about how to defend against him. Data exploration involved 15 years of data with Python (Plotly for data visualization) and advanced football metrics. Workflow occurred with Jupyter Notebooks, including one for unit testing.

Education

2011 - 2014

Ph.D. in Applied Mathematics

Université Paris Sud XI - Paris, France

Certifications

APRIL 2020 - PRESENT

Introduction to Football Analytics

StatsBomb

MARCH 2017 - PRESENT

Deep Learning with TensorFlow

Big Data University

JANUARY 2017 - PRESENT

Data Science Methodology

Big Data University

APRIL 2015 - PRESENT

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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