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Photo de Nathan, Data Scientist PYTHON

Nathan Data Scientist PYTHON

CV n°200211R002
  • Profil

    Data Scientist, Data Analyst (27 ans)

  • Domicile

    75018 PARIS

  • Mobilité Totalement mobile
  • Statut Mandataire social de sa structure Freelance (SARL, SAS, EURL, etc)
  • Domaines d'expertise

    Banque d'investissement, Conseil en organisation et système d'information, Décisionnel / Datawarehouse

Compétences techniques
Études et formations

Educational Background
Sciences Po Paris September 2017 – January 2019
Master in Public Affairs (MPA): Digital and new technologies specialization - Network economy and Innovation law
- Psychology and public policies
- Econometrics
- Python for Social Sciences
Telecom SudParis September 2013 – September 2016
Engineering degree with a specialization in Machine Learning
- Deep Learning for computer vision (RBM and CNN)
- Supervised and unsupervised learning: decision tree methods, random forest, Naive Bayes Classifier, Regression models, KNN, Gradient boosting
- Biostatistics
- Economic modeling: Applied econometrics for market finance, macro-Economics, time series, research project, social network modelling
Classes Préparatoires aux Grandes Ecoles : MPSI-MP (MathSup-MathSpé) September 2011 – July 2013
Post-secondary highly selective preparatory classes in mathematics, preparing for entrance examinations to the French “Grandes Ecoles”
Additional courses and Academic exchange:
La Trobe University of Melbourne academic exchange: Statistics and applied Mathematics February 2015 – September 2015
- TOEIC: 955/990
- Deep Learning with Python DataCamp
- Convolutional neural network with Python DataCamp
- Stanford Machine Learning MOOC Coursera

Personal projects
Reinforcement Learning: (Python: Gym/Keras) Application of Q-Learning and DQN to different environments. Comparison of hyper-parameters efficiency.
Computer vision: MNIST Kaggle competition (Top 4%) (Python: Keras), CNN from scratch using only Numpy (Python: Numpy)
Customers segmentation for Emmaus France (Python: scikit-learn) Data cleaning, data visualization, descriptive statistics, k-means
Master thesis project (Statistics for economics, R) “Stochastic modelling of the yield curve of interest”
Comparison between different models: Vasicek, Pearson-Sun, Merton. Passed with Highest Honors (18/20)
Academic Deep Learning project (Matlab) : Creation from scratch of a Multi-Layer Perceptron tested on MNIST

Languages and Skills
- French: Native speaker (C2) - English: Fluent (C1) - Spanish: Intermediate (A2)
- Computer Science: Python (Keras/TensorFlow, Scikit-Learn, Pandas), R, MATLAB, VBA; Database management: SQL; algorithmic; Linux, Git

- Sports: Surf (18 years practicing), apnea, climbing, Jiu-Jitsu
- Music: Piano, Guitar and computer assisted music
- Theatre: Graduated from the Conservatoire d’Art Dramatique

Expériences professionnelles

Professional experiences
CTO and co-fonder at Agence_33_corp Paris, France August 2019 – Currently enrolled
Development of social network tools to increase the impact of an online marketing campaign:
Instagram bot: (Python) Scrapping list of followers, popularity of each of them, mass direct messaging from an account with random time lapse.
Data Scientist at Sia Partners Paris, France March 2019 – July 2019
Traffic modeling (Python): Graph optimization (NetworkX: Dijkstra, A*), flow modeling (BPR model), Reinforcement Learning
Computer Vision Object detection (Python): pool detection using satellite images with YOLO algorithm
Data Science R&D engineer at Neumann AI - Beirut, Lebanon July 2018 – November 2018
Working on the Research and Development team on several projects using:
- Supervised classification and regression algorithms: Tree methods (decision trees, random forest), KNN, Logistic regression, Naive Bayes methods, MLP, etc.
- Ensembles methods; especially gradient boosting (XGBoost)
Consultant at Accenture Consulting Paris, France January 2017 – June 2017
Support in digital transformation and automation of the supply chain in the banking sector, particularly for the Société Générale:
- Project management in the implementation of Big Data, Machine Learning tools and other innovative solutions
- Organizational and functional analysis of the business
Repo Trading at HSBC (end-of-studies internship) - Paris, France January 2016 – August 2016
- Development of tools and strategies of optimization of the IM impact on the swap market (IRS, OIS, CDS…)
- Development of tools in python for the optimization of the collateral management
Mathematics private teacher September 2014 - August 2015
- Private teacher in Mathematics, Statistics and probabilities theory for high school and undergraduate students