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(Uppdaterat 2020-01-14)Data Scientist / Data Engineer
Remote
Nybörjare French, English, Portuguese
- Google Cloud Platform
- Python
- Data Science
Kompetenser (18)
DATA ANALYTICS
SHINY
Git
GCP
Python
STATISTICS
DATA SCIENCE
PIPELINE
Docker
Algorithm
SQL
SAS
SALES CHANNELS
PRICING
MARKETING ANALYSIS
Strategic planning
TEACHING
OPTIMIZATION
Professionell bakgrund
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
Akademisk bakgrund
master degree
national school of statistics and data analysis
2012-09 - 2016-12
Montesquieu Highschool
Montesquieu Highschool
2010-01 - 2012-01
Certifikat
TOEIC