Nefertiti

Founder

École Polytechnique

* Corporate training in SAP, Citibank, SwissLife (and others)
* Teaching Graduate Programs in ENSAE, ENSAI
* Curriculum: Python, Machine Learning, Apache Spark, Power BI, Tableau, Excel

Data Science Teacher (Corporate Training)

Reinsurance Group of America, Incorporated

Pitching, Developing & Leading New Initiatives:

* Natural Language Processing
* Medical Document Digitization
* AI-Driven Risk modelling
* Propensity Modeling

Executive Director, Artificial Intelligence

CXA Group

∞ Designing Data Architecture (Cloud, ETL, Data Warehousing, etc.)
∞ Developing the Recommendation Engine
∞ Applying Text Mining methodology to find structure in insurance and clinic data
∞ Predicting Health Risk based on demographics, lab results and health questionnaires
∞ Conducting code reviews and coordinating team's activities

Chief Data Scientist

Equancy

As a Lead Data Scientist, I divide my time between 4 different activities:
 
1. Hands-on Engineer (60%) - Developing both R&D Prototypes (PoC) and production software with AI as its main component. 
 
2. Team Leader (15%)  - Leading a team of 4 Data Scientists, providing assistance on every step of a project, mentoring, conducting code reviews. Assisting in recruitment and assessing skills during the interviews.
 
3. Consultant (15%) - Building offers for clients, advising during pre-sales, pricing and planning.
 
4. Public speaker and Teacher (10%) - Speaking in Meetups and providing training for clients (Machine Learning with Python, 3-day training)
 
Projects (as a Hands-on Engineer):
♪ Targeted Display Advertising (CTR Optimization) for AXA
♪ Recommender System (Content-Based and Collaborative Filtering) for PhotoBox
♪ Sales Prediction for Nissan
♪ Customer Segmentation for Pernod-Ricard
♪ Text Mining for Renault
♪ Deep Learning (Visual Search, Object Detection) for Sarenza 
♪ Webscraping and entity resolution for Mister Auto
♪ Fraud detection for SwissLife
 
Tools: 
Python, Pandas, Numpy
Scikit-Learn, MLlib, StatsModels
Matplotlib, Seaborn
Hadoop, Spark, Hive, Impala
MongoDB, MySQL, PostgreSQL
TensorFlow, Keras, Caffe, OpenCV

Lead Data Scientist

Kpler

Founded in Paris in 2009, Kpler is an intelligence company providing transparency solutions in trading markets. 

My responsibilities included:
∞	Managing, building and maintaining ETL processing and monitoring jobs
∞	Deployment of large scraping projects, ran on hourly basis
∞	Analysis of business and logistics data and providing insights regarding the LNG market
∞	Improving platform's performance and latency by using NoSQL technologies

Tools: 
Python (Scrapy, SQLAlchemy...), PostgreSQL, Elasticsearch, VBA, Git

Senior Data Scientist

GDF SUEZ

Working within the Global Gaz & GNL branch, my main tasks included:

∞	Econometric studies and Time Series Analysis to model and predict price, demand, production capacity, imports, exports of the following commodities: Gas, LNG, LPG, Crude Oil, Electricity, ...
∞	Creation of Excel tools used by energy analysts
∞	Used statistical methods to generate predictions and detect trends in the energy market
∞	Data Acquisition (APIs, Web scraping), ETL, Data Management, Visualization

Data Scientist

ISIR - Institut des Systèmes Intelligents et de Robotique

Published two academic papers in Artificial Intelligence journals and presented results in international conferences

Machine Learning Developer

Al Cielo

Lead the development of high-precision Inertial Sensors for Robots
∞	Software, Electronic and Mechanical design of new products
∞	Project management and coordination between various stakeholders 
∞	Managed a team of three assembly technicians

Product Engineer

R&D Intern

♔ Founder @ Nefertiti
♘ Python and Data Science Instructor @ ENSAE
♚ MSc Machine Learning @ UPMC, BSc Robotics @ Tel Aviv Uni
♛ MBA @ Collège des Ingénieurs
★ Fluent in English, French, Hebrew and Russian

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