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:

  • 2019: Python for Life Science
  • 2020: R-Package Development
  • 2021: BASH Mastery
  • 2022: Machine Learning Project
  • 2022: MSc thesis, Untargeted Metabolomics - Multivariate Analysis Workflow
  • 2022: MSc thesis, cheMLearning Python Library

• 🐍 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