Eric D.

Data Scientist

660 dollar
3 ans

Mon expérience

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DoctrineJune 2018 - January 2019

Fastest growing Legal Tech in Europe, building a Search Engine to help lawyers find the legal documents they need.

• Worked on a Named Entity Recognition algorithm using BiLSTM and CRF for anonymising legal decisions.
• Deployed a Flask web application to collect errors made by our Machine Learning algorithms and re-train them.
• Participated in cleaning the code base and setting best development practices.
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ManoManoApril 2016 - June 2018

ManoMano is a fast growing marketplace startup, selling DIY and gardening materials.

• Pioneered website personalization by creating an item recommendation system API from scratch. The system is now serving more than 7 million unique users monthly and increased average basket price by 15%.
• Deployed a Lambda Architecture to collect user data. Built state of the art Machine Learning and Deep Learning models on top of this data.
• Deployed algorithms to production using an in-house AB Testing module.
• Classified 1.5 million DIY/gardening products into 3,000 categories by creating an automatic text classifier.
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Visiting Research ScholarSeptember 2014 - January 2015

Worked within the Mechanical and Aerospace Department, under supervision of Prof. Stephen Robinson, former Nasa Astronaut.

• Prototyped software and hardware tools to approximate the drag of an object in a wind tunnel.
• Programmed an Arduino Micro Controller used with differential pressure and distance sensors.
• Developed a live plotting software in Python, with GUI and post processing functions
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Hunter Engineering CompanyJune 2013 - September 2013

Hunter Engineering Company is a global leader in automotive service equipment, offering state-of-the-art wheel alignment systems, wheel balancers, vehicle inspection equipment, tire changers, lift racks and brake lathes.

• Worked on "Quick Tread" prototype allowing to automatically measure wear on cars tires by using lasers and cameras.
• Tested accuracy and repeatability of results by comparing results obtained manually with the machine output. Improved and accelerated data analysis by automating and enhancing Excel workbooks with Visual Basic.
• Co-wrote a technical paper published on SAE website.

Mes compétences




Data Science, Natural Language Processing (NLP), GitHub

IT Infrastructure

Docker, Cloud Computing, Linux

Analysis methods and tools


Machine Learning

Deep learning, Keras, Scikit-Learn


AWS, Machine Learning, Flask, System Architect


LaTeX, Python, SQL, Java

Big Data

Big Data, Hive, Data Visualization, Hadoop, Spark

Business Intelligence

Statistica, Tableau Software


NoSQL, Neo4J, MongoDB

Mes études et formations

Master's degree - CentraleSupelec2015 - 2016

Master of Science (M.Sc.) - ECAM Lyon2010 - 2015

French Baccalauréat - Lycée Lacordaire Marseille2007 - 2010