Benjamin is available for hire

Benjamin Larrousse

Verified Expert in Engineering

Data Science Developer

Location

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.

Machine Learning Python 3 SQL Artificial Intelligence (AI)Deep Learning TensorFlow Keras Analytics MATLAB Algorithms Python BigQuery Google Cloud Platform (GCP)Scrum Pandas

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 Python 3 - 6 years Data Science - 6 years Machine Learning - 6 years Keras - 3 years TensorFlow - 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.

Skills

Languages

Python 3, SQL, Python

Paradigms

Data Science, Data-driven Methodology, Scrum

Other

Mathematics, Game Theory, Machine Learning, Research, Information Theory, Optimization, Deep Learning, Artificial Intelligence (AI), Algorithms, Football, Sports, Analytics

Libraries/APIs

TensorFlow, Keras, Scikit-learn, Pandas, Matplotlib

Tools

TensorBoard, MATLAB, BigQuery

Platforms

Jupyter Notebook, Google Cloud Platform (GCP)

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

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