Mes compétences :
Predicting model
Data Analysis
SAS
R
Tableau
Excel VBA
Team work
Communication
SQL
SPSS
SEO
Web analytics
Machine learning
Spark
Python
Entreprises
Tipster Academy
- Data Analyst – Part-time
2017 - maintenant- Build and compare 6 machine learning models to predict tips’ results, detect best tipsters’ performances.
- Stimulate the website SQL database, flow of data, making predictions and evaluation for data from 2010 to 2017.
- Analyze and visualize data using Excel dashboard.
- Tools: Python (scikit-learn), MySQL, Excel.
Amadeus Nice
- Data Science Engineer Intern
Sophia Antipolis2016 - 2016- Develop a Business Intelligence product to discover travelers’ information (gender, age group) and sentiment (feeling) based on their Twitter profiles.
- Build 4 machine learning models to classify Twitter account type (Accuracy=90%), account gender (Accuracy=72%), age group (Accuracy=62%) and tweets sentiment (Accuracy=67%).
- Build 3 interactive dashboards to visualize the final result.
- Techniques: web scrapping, text mining, classification models.
- Tools: Python (scikit-learn, xgboost), Tableau.
- GitHub link: https://goo.gl/c3jR46
KPMG
- Tax Consultant
Courbevoie2013 - 2015- Developed VBA Add-ins package to help calculate income tax faster and easier.
- Conducted successfully 13 CIT projects, 7 PIT projects, 15+ Australian CIT returns, including big clients with contract value over USD20,000.
- Leaded and trained tax laws and technical knowledge for new Tax Assistants.
