Freelancer profile translated to English.

Description

Hello,

Double degree engineer from Ecole des Ponts Paristech and Ecole Normale Supérieure (MVA Master's degree), I offer my services to help you solve your data-related challenges.

My areas of expertise are as follows:

• Data Analysis: highlighting available levers to improve your performance

• Data Visualization: presenting your data for better understanding

• Data Processing: formatting and cleaning your data to make it usable;

• Web Scraping: extracting, processing, and integrating additional data available on the internet

• Machine Learning & Deep Learning: predicting and classifying your data (supervised or unsupervised learning)

Languages

French
Native or bilingual
English
Fluent
Spanish
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 100km)

Memorial Sloan Kettering Cancer Center
Research Assistant
BIOTECH
February 2020 - Today (6 years and 4 months)
New York, United States
Carried a research project on TP53 Allelic State, the most mutated gene in cancer, in a Pan Cancer Analysis (MSK-IMPACT cohort ~ 60,000 patients)
- Data Structure Engineering (Python): creation of an automated pipeline to go from raw data to usable dataset
- Exploratory Data Analysis (Python/R)
Python R Cancer Research Logo Design
Dathena Science LTD
Junior Data Scientist
SOFTWARE PUBLISHING
August 2019 - January 2020 (6 months)
Singapour, Singapore
- Carried a project on Personal Identifying Information (PII) extraction: implemented Rule based approaches (Regular Expressions) in Scala and Python
- Trained a binary classification model for PII Extraction: benchmark of different models (Logistic Regression, Decision Tree, Support Vector Machine, Conditional Random Fields) – f1-Score = 90%
- Trained and deployed BERT Named Entity Recognition model from Google Research (TensorFlow, Docker)
Python Deep Learning Docker TensorFlow Scala Start-up

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Engineering Degree: Finance and Statistics
Ecole des Ponts ParisTech
L'Ecole des Ponts ParisTech est une école d'ingénieur française de renom, classée 3eme meilleure école par L'Etudiant en 2019. J'y ai suivi des cours généraux de mathématiques (analyse et algèbre) mais aussi des cours plus spécifiques comme l'économie et la mécanique. Je me suis spécialisé en Finance/Statistiques : finance d'entreprise, Statistiques, Machine Learning, Computer Vision. Mes nombreux projets académiques et personnels m'ont permis d'être très à l'aise avec Python (Numpy, MatplotLib, Scikit-Learn, TensorFlow, Keras) et R.
Master Mathematics Vision Learning
Ecole Normal Supérieure
En coopération avec plusieurs partenaires académiques, le master MVA forme chaque année près de 150 étudiants des universités et des grandes écoles aux métiers de Recherche, Développement et Innovation pour les organismes et entreprises publics et privés dans le domaine des mathématiques appliquées au traitement des données, des images et des signaux. J'y suis les cours suivants: - Deep Learning - Reinforcement Learning - Natural Language Processing

Emile Cohen

Junior Data Scientist/Analyst

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