Eliane Maalouf
Biostatistics Intern
Lausanne Metropolitan Area Switzerland
Summary
🤩
Rockstar🎓
Top SchoolEliane Maalouf is a biostatistics and data science professional with three years of applied experience bridging academia, industry and open-source development. Currently a Biostatistics Intern in Lausanne and a PhD candidate in Computer Science, she has worked on forecasting and anomaly detection enhancements in the popular darts time-series library and on integrating LLMs with classical ML for project and portfolio intelligence at Philip Morris. Her background spans statistical consulting with R and Stata, research and teaching roles, plus hands-on data engineering and visualization from earlier systems work, giving her a rare blend of rigorous quantitative skills and practical engineering. She also offers science communication and speech coaching from years of independent consulting, which complements her technical contributions and helps translate complex results for stakeholders.
3 years of coding experience
9 years of employment as a software developer
Business Concept training Entrepreneurship/Entrepreneurial Studies, Business Concept training Entrepreneurship/Entrepreneurial Studies at Innosuisse Startup trainingCore: Credential of Readiness, Core: Credential of Readiness at Harvard Business School OnlineCertificate of Advanced Studies (CAS) Clinical research, Certificate of Advanced Studies (CAS) Clinical research at University of Lausanne - UNILPhD candidate Computer Science, PhD candidate Computer Science at Université de NeuchâtelMaster Communication and Information Technologies - Information System Security, Master Communication and Information Technologies - Information System Security at HES-SO University of Applied Sciences and Arts Western SwitzerlandEngineering Telecommunications and networks, Engineering Telecommunications and networks at Saint Joseph University of Beirut
English, French, Arabic, German
Github Skills (13)
forecasting10
machine-learning10
time-series10
forecast10
regression-models10
anomaly-detection10
python10
pandas9
unit-testing9
scikit8
scikit-learn8
deep-learning5
deeplearning-ai5
Programming languages (1)
Github contributions (3)
unit8co/darts
Sep 2022 - Jan 2023
A python library for user-friendly forecasting and anomaly detection on time series.
Role in this project:
Data Scientist
Data ScientistContributions:100 reviews, 122 commits, 17 PRs in 3 months
Contributions summary:Eliane's contributions primarily revolve around enhancing the darts library's forecasting and anomaly detection capabilities. They refactored and updated functions related to residual calculations, incorporating past and future covariates and implementing unit tests to validate the changes. Furthermore, the user added support for static covariates within regression models, which suggests the user is working with the model design and improving the quality. Finally, the user is also working on the functionality with the window transformer and testing the functionality.
forecastingpython-libraryanomalypythontime-series-analysis
adamkells/darts
Sep 2022 - Oct 2022
A python library for easy manipulation and forecasting of time series.
Contributions:16 pushes in 21 days
forecastingmanipulationpython-librarypythontime-series-analysis
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