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  • Lausanne, Switzerland
  • X @JRigh

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JRigh/README.md

Greetings, my name is Julian Sampedro.

I am a Data Scientist, initially trained as a Statistician, living in Switzerland, programming mostly in the R language, also Python, C++ and others.

Programming

  • R programming
  • Python
  • Java
  • SQL
  • SAS

Skills

  • Descriptive statistics
  • Data visualization
  • Monte Carlo simulations
  • Ressampling methods
  • Statistical modeling
  • Statistical inference
  • Bayesian inference

Languages

  • French
  • English
  • German (passive)
  • Norwegian (intermediate)
  • Spanish (notions)
  • Italian (beginner)
  • Chinese (beginner)
  • Vietnamese (beginner)

Citizenships

  • Swiss
  • Spanish (as of 2024)

Education

  • Bsc. Business Administration (HES-SO University of Applied Science, Fribourg, 2016)
  • Msc. Statistics (University of Neuchâtel, 2019)
  • external PhD. candidate in Statistics (University of Fribourg, ongoing as of 2022. Research area: fuzzy logic, fuzzy set theory, fuzzy statistical inference)

Affiliation

  • The Swiss Statistical Society (SSS)
  • Royal Statistical Society (RSS)

Connect with me

R R R

Tools and libraries

python numpy pandas scikit_learn seaborn tensorflow

R dplyr ggplot2 lubridate tidymodels rsample

GitHub statistics

Anurag’s github stats

Top Langs

Please reach out for information/inquiries.

Buy Me A Coffee

Pinned Loading

  1. Poisson-Gamma-example-in-R Poisson-Gamma-example-in-R Public

    Example of Poisson-Gamma model in Bayesian analysis in R

    R 1

  2. Data-visualization-in-R Data-visualization-in-R Public

    Some elements of data visualization with R

    Jupyter Notebook

  3. Time-series-and-Survival-analysis-in-Python Time-series-and-Survival-analysis-in-Python Public

    Material from the great IBM MOOC on time series forecasting with python available through Coursera

    Jupyter Notebook 2

  4. MC-Integration-and-simulations-in-R-and-Python MC-Integration-and-simulations-in-R-and-Python Public

    Monte Carlo (MC) Integration and simulations in R and Python

    Jupyter Notebook 2 1

  5. Beta-Model-Estimation-in-R-and-Python Beta-Model-Estimation-in-R-and-Python Public

    Method of Moments and Maximum Likelihood estimation for a Beta model

    Jupyter Notebook 1

  6. LOOCV-Cross-validation-for-regression-in-R-and-Python LOOCV-Cross-validation-for-regression-in-R-and-Python Public

    Leave-one-out Cross-validation for regression models

    R 2