- I'm an experienced data scientist with a background in statistics and engineering.
- I'm passionate about applying statistical modelling, machine learning and design of experiments to improve the efficacy and efficiency of systems.
- I'm currently learning about:
- Causality
- Python best practices
- Docker
- I'm excited to collaborate on projects that leverage statistical inference/modelling to better understand a problem beyond the usage of a ML solution that does the predictive modelling part.
- You can reach out to me at eufe.f.p@gmail.com
Data scientist excited about statistics, predictive modelling and machine/deep learning applications.
- Zürich, Switzerland
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Change_Point_Detection
Change_Point_Detection PublicR Shiny app with an implementation of a change point detection algorithm
R
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Bootstrap_Review_Coverage_Analysis
Bootstrap_Review_Coverage_Analysis PublicReview of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
R
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Power_Analysis_Fish
Power_Analysis_Fish PublicPower analysis for fish guidance structures in downstream migration of fish in Swiss rivers
R
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CrystalBall
CrystalBall PublicWeb application to predict academic performance of freshmen at university
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