CV

Client history

Research Assistant in Statistics and R

Aarhus University, 2018 - Present

I am helping a political science researcher (Daniel Finke) with text-mining studies.

  • Scraped thousands of official documents for the UN and EU.
  • Built a topic modelling algorithm to create clusters of UN resolution drafts.
  • Wrote a predictive algorithm to classify proposals to the European Commision and predict which directorate will lead the proposal.

Skills: R, Statistics, Machine Learning, Text-mining, Topic modelling, Classification

Research Assistant in Statistics and R

EMMA Clinic, 2018 - Present

I am helping a researcher in dermatology with statistical studies and publication of research papers.

  • Developed descriptive analyses of datasets in dermatology.
  • Built multivariate statistical models to establish relationships between variables.
  • Produced reports to aid in the writing of academic papers.

Skills: R, Statistics, LaTeX, Regression, ANOVA

R/R Shiny Developer

BCG, 2018 March - 2018 September

I helped a BCG team building and maintaining an interactive Shiny app for their client in retail.

  • Optimized Shiny app to support more than ten concurrent users and built the plan to scale to 100+ users.
  • Made the app robust and fluid for an easy-going experience by end users.
  • Implemented Handsontable API to deal with Excel-like tables on the app.

Skills: R, Shiny, Shiny Server, data.table, handsontable, Azure, Shell, JIRA

Data Scientist

Cargo Media, 2017 March - 2017 December

I helped a start-up with a SaaS product to optimize their user-acquisition process.

  • Built models from scratch to predict lead-to-sale conversions.
  • Created survival models to estimate the lifetime value of customers.
  • Automated the interactive Shiny dashboards for the marketing team.
  • Optimized customer cost acquisition through real-time bidding.
  • Established indicators to improve fraud detection from affiliates.

Skills: R, SQL, Machine Learning, Regression, LTV prediction, RTB, AWS (EC2, Redshift)

Statistical Engineer

Sonovision, 2015 November - 2017 January

I worked at Renault to support their team of statisticians.

  • Created interactive dashboards in Shiny.
  • Built user-friendly desktop apps with Tcl/Tk.
  • Performed Weibull analysis for quality control.
  • Created interactive visualization tools to follow KPIs.
  • Automated recurrent tasks with R scripts.

Skills: R, Statistics

Portfolio

Personal Website

https://www.charlesbordet.com/en/

This is my freelance website that showcases my work including:

  • Educational articles in data science.
  • Case studies articles of my previous projects.
  • Technical articles on R and Python.

It supports both English and French.

Skills: R, Python, Data Science.

Creation of online courses

https://www.udemy.com/user/charles-bordet/

I created multiple courses on the Udemy platform:

  • R basics
  • Deep Learning with Python (TensorFlow, Keras, and PyTorch)
  • Artificial Intelligence (Q-Learning, Deep Q-Learning).

Skills: R, Python, Deep Learning, AI, Keras, TensorFlow, PyTorch

Skills

Languages:

  • R (tidyverse, dplyr, data.table, ggplot2, shiny, plumber, package)
  • Python (numpy, pandas, matplotlib, seaborn, scikit-learn, tensorflow, keras, pyspark)
  • SQL
  • HTML
  • CSS

Tools:

  • Git/Github
  • Ubuntu/Shell
  • Jenkins
  • AWS (S3, EC2, Redshift)