Data Scientist
2017 - 2020HEVA- Conducted health data analysis studies for public institutions, pharmaceutical, and medical device companies.
- Collaborated with data scientists, data engineers, developers, UI/UX designers, and medical experts.
- Participated in a range of research and development projects, from theoretical ideas to implementations on case studies—leading to scientific and technical contributions presented in international conferences or published in peer-reviewed journals.
Technologies: Visual Studio Code, GitLab, Health, TensorFlow, Python, Data Visualization, Predictive Modeling, Predictive Analytics, Jupyter Notebook, Git, Scikit-learn, NumPy, Pandas, SQL, Plotly, Machine Learning, Data Science, Deep Learning, Data Analysis, Data Analytics, Analytics, DashboardsIntern
2017 - 2017HEVA- Benchmarked machine learning algorithms for the classification of French national hospital data.
- Applied global optimization algorithms to solve a hyperparameter-tuning problem.
- Conducted health data analysis studies for pharmaceutical and medical device companies.
Technologies: Python, Scikit-learn, Pandas, SQL, Predictive Modeling, Predictive Analytics, Data Visualization, Jupyter Notebook, Machine Learning, Data Science, Data Analysis, Data Analytics, AnalyticsResearch Intern
2016 - 2016Polytechnique Montréal- Analyzed data and extracted knowledge to improve the workload distribution for the Home Care Regional Services of Montreal Island.
- Created a database in SQL in order to structure caregivers and visit data.
- Designed and adapted a dashboard to facilitate future data collection.
Technologies: VB.NET, RStudio, Data Analysis, Data Analytics, Analytics