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(Aktualisiert 2020-01-14)Data Scientist / Data Engineer
Remote
Anfänger French, English, Portuguese
- Data Science
- Google Cloud Platform
- Python
Fähigkeiten (18)
DATA ANALYTICS
SHINY
Git
GCP
Python
STATISTICS
DATA SCIENCE
PIPELINE
Docker
Algorithm
SQL
SAS
SALES CHANNELS
PRICING
MARKETING ANALYSIS
Strategic planning
TEACHING
OPTIMIZATION
Berufserfahrung
Senior data scientist/data engineer
Artefact
2018-05 - 2019-11
Improve the existing data pipeline of a dashboard on Google Cloud Platform for more robustness,
scalability and cost-efficiency (python, Google Cloud Platform)
- Develop an infrastructure for automated deployment of data science models
(python, Google Cloud Platform)
- Use Google's machine learning APIs to automatically index content in videos
(python, Google Cloud Platform, Kubernetes)
- Predict the shopping basket of regular supermarket consumers (python, Spark, Airflow, GCP)
- Determine if there is a problem that requires intervention on the telephone line of telecom
customers (HiveQL, R, Tableau)
- Associate a newspaper archive with a news article, thanks to topic modelling (python, sklearn, docker, kubernetes)
scalability and cost-efficiency (python, Google Cloud Platform)
- Develop an infrastructure for automated deployment of data science models
(python, Google Cloud Platform)
- Use Google's machine learning APIs to automatically index content in videos
(python, Google Cloud Platform, Kubernetes)
- Predict the shopping basket of regular supermarket consumers (python, Spark, Airflow, GCP)
- Determine if there is a problem that requires intervention on the telephone line of telecom
customers (HiveQL, R, Tableau)
- Associate a newspaper archive with a news article, thanks to topic modelling (python, sklearn, docker, kubernetes)
Data scientist consultant, customer data analytics & revenue management department, Eurodecision
2016-04 - 2018-01
April - Develop an automated revenue management algorithm in a rail transportation environment (language R, presentation with shinydashboard, css)
- Predict the volume of packages leaving several warehouses day by day (R and Shiny flexdashboard)
- Statistical modelling to estimate clinical study workloads in pharmaceutical industry
(R and shinydashboard/css)
- Determine the optimal sales channels mix in a revenue management context (R, QlikView)
- Predict the volume of packages leaving several warehouses day by day (R and Shiny flexdashboard)
- Statistical modelling to estimate clinical study workloads in pharmaceutical industry
(R and shinydashboard/css)
- Determine the optimal sales channels mix in a revenue management context (R, QlikView)
Data scientist intern, pricing & strategic planning team
Disneyland Paris
2015-06 - 2015-08
- Subject: Isolate the impact of economic context on Disneyland Paris performances
(3 months) - Implement linear regressions and present results to non-initiated teams
TEACHING
2018 - today Tutorial classes: classification methods, Ensai, 12h per year
- KNN, decision trees, models' comparison (ROC, LIFT)
- Application on concrete use cases
October 2017 Revenue management and dynamic programming, Ensai, 12h
- Dynamic programming: recursive optimization, backward induction
October 2017 Revenue management, Eurodecision, 6h
- Fundamentals of revenue management, theory and exercises
(3 months) - Implement linear regressions and present results to non-initiated teams
TEACHING
2018 - today Tutorial classes: classification methods, Ensai, 12h per year
- KNN, decision trees, models' comparison (ROC, LIFT)
- Application on concrete use cases
October 2017 Revenue management and dynamic programming, Ensai, 12h
- Dynamic programming: recursive optimization, backward induction
October 2017 Revenue management, Eurodecision, 6h
- Fundamentals of revenue management, theory and exercises
Akademischer Hintergrund
master degree
national school of statistics and data analysis
2012-09 - 2016-12
Montesquieu Highschool
Montesquieu Highschool
2010-01 - 2012-01
Zertifikate
TOEIC