I started coding in Python in 2019, after I finished my bachelor. During my MSc in Biochemistry at the University of Geneva, Switzerland, I have learnt to code in R as well as strengthen my background in statistical modelling, ML, multivariate analysis (MVA) and computer skills for biological research.
For my MSc thesis, I am developing a machine learning-guided workflow to identify biomarkers in metabolomics; acquiring skill in data sciences and bioinformatics. This lead to my current project: development of a Python library to automatize unsupervised and supervised multivariate analysis.
Since december 2021 I am working also as a freelancer at Fiverr, where I am developping my personal brand: CPAnalytics. You can find my profile in the last section :)
Currently, I am seeking of new projects, preferable, at the interface between IT and life science, where I can make use and refine my computational skills.
- 📄 Know about my experiences
-
🔭 I’m currently working on this page to showcase my projects which includes:
-
🐍 Python
- numpy
- pandas
- sckit-learn
- tensorflow
- plotly
- seaborn
-
📈 Machine Learning
Imbalanced data sampling strategies:
- SMOTE
- TomekLink
- Random Under-Sampling
Models:
Regression Classification OLS with LASSO - RIGDE regularization Logistic Regression Gradient Boosting Random Forest Classifier Random Forest Multi Layer Perceptron PLS-RA PLS-DA -
📊 R
- tidyverse
- survival
- ggplot2
- caret
-
💻 BASH scripting
