Charles Bordet, Developer in Lyon, France
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Charles Bordet

Verified Expert  in Engineering

Data Visualization Developer

Location
Lyon, France
Toptal Member Since
February 20, 2018

Charles is an expert in the R and R Shiny programming languages. He is specialized in building Shiny apps from scratch, optimizing them, and deploying them on servers at scale. The apps are elegantly designed, reliable, and fast to ensure the users can dig into the data easily. Charles is a great asset to have in your team with a proven capability to work independently and in teams, mentor co-workers or clients, and communicate with both technical and non-technical audiences.

Data AnalysisData VisualizationRStudioRGitSQLMarkdownLinuxPostgreSQLMachine LearningSystem AdministrationCSSShellAmazon EC2GitLab

Portfolio

Enedis
R, RStudio Shiny, HTML, CSS, JavaScript, Git, Agile, Jira, Bitbucket
Dexeo Technologie
Machine Learning, R
Professional Training
Machine Learning, Statistics, Python, R

Experience

R - 6 yearsGit - 5 yearsData Visualization - 4 yearsCSS - 4 yearsHTML - 4 yearsJavaScript - 2 yearsSystem Administration - 2 years

Availability

Full-time

Preferred Environment

RStudio, RStudio Shiny, R, HTML, CSS, JavaScript, Agile

The most amazing...

...project I've worked on is a complex multi-page R Shiny app with a custom web design and tons of data visualizations like maps, timelines, and interactive forms.

Work Experience

Shiny Developer

2020 - 2021
Enedis
  • Optimized a massive Shiny app to make it fluid and fast.
  • Integrated a custom web design to personalize the appearance of the app.
  • Developed numerous JavaScript effects to improve the usability and interactivity of the app.
Technologies: R, RStudio Shiny, HTML, CSS, JavaScript, Git, Agile, Jira, Bitbucket

Machine Learning Researcher

2019 - 2020
Dexeo Technologie
  • Reviewed the scientific literature around existing models for analyzing and classifying text documents.
  • Analyzed the needs in data to automatize the existing solution with Machine Learning to prevent manual labor.
  • Developed a Machine Learning model to automatically extract the most important features from a text document.
Technologies: Machine Learning, R

Data Teacher

2017 - 2020
Professional Training
  • Trained professionals in R, Python, statistics, and machine learning.
  • Created online video courses in R, Python, deep learning, and artificial intelligence.
  • Enrolled more than 10,000 paying students on a platform.
  • Mentored students who were studying to become data analysts in OpenClassrooms.
Technologies: Machine Learning, Statistics, Python, R

R/Shiny Developer

2019 - 2019
Quote Velocity
  • Created an interactive dashboard to visualize and track data on a daily, weekly, and monthly basis.
  • Set up a system to improve detection of misqualified customers.
  • Self-hosted the dashboard as a web app on a remote server.
Technologies: DataTables, Plotly, Ggplot2, RStudio Shiny, R

Data Scientist

2018 - 2019
Real Radiology
  • Deployed predictive models to anticipate the workload in radiology studies.
  • Created an interactive dashboard to visualize and track data on a daily basis.
  • Set up a system to show discrepancies between planned resources and predicted demand.
Technologies: Plotly, Ggplot2, RStudio Shiny, R

R Developer

2018 - 2018
CNRS
  • Created a Shiny app for a research project in decision theory.
  • Optimized the app for conferences (short burst of users).
  • Added features such as account management, data entry, and visualization of probability distributions.
  • Deployed an updating system to make my client autonomous.
  • Deployed a Git server to easily clone the app for different uses.
Technologies: Ggplot2, Git, SQL, RStudio Shiny, R

Research Assistant in Statistics and R

2018 - 2018
Aarhus University
  • Wrote text-mining algorithms.
  • Built topic models on UN resolution drafts.
  • Scored speeches of the UN General Assembly.
  • Classified EU Directorate-General based on legislative proposals.
  • Web scraped parliamentary questions of the Danish parliament, Bundestag documents, speeches of the UN General Assembly, and record details from the United Nations Digital Library.
Technologies: Amazon Web Services (AWS), R, Machine Learning

Developer (R, Shiny)

2018 - 2018
BCG
  • Created and maintained a robust and user-friendly R Shiny app for a pricing strategy in retail during sales periods.
  • Enabled merchandisers to make scoring simulations.
  • Integrated Excel-like tables for easy manipulation of data.
  • Optimized the app to scale it to dozens of concurrent users.
Technologies: Jira, Jenkins, Shell, Git, SQL, RStudio Shiny, R

Research Assistant in Statistics

2018 - 2018
EMMA Clinic
  • Implemented data analysis in a research laboratory for dermatology.
  • Wrote a descriptive analysis and multiple regression for a study on Vitiligo disease.
  • Implemented a statistical validation of a burden score on hand eczema disease.
  • Worked on a statistical study on relapse and impact on the adult acne productivity.
Technologies: LaTeX, R, Statistics

Data Scientist

2017 - 2017
Cargo Media
  • Set up a user-acquisition profitable strategy for a SaaS company.
  • Developed predictive models for RTB (Real-Time Bidding) channel.
  • Built predictive LTV models for new and existing users.
  • Created interactive dashboards in R Shiny to track KPIs.
  • Established indicators to improve fraud detection from affiliates.
Technologies: Amazon Web Services (AWS), RStudio Shiny, SQL, R, Machine Learning

Statistical Engineer

2015 - 2017
Sonovision
  • 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.
Technologies: RStudio Shiny, R, Statistics

PhD Student in Statistics (not completed)

2013 - 2015
Université Laval
  • Published academic papers.
  • Gave talks at conferences.
  • Mentored others in statistics.
  • Worked as a teaching assistant in statistics and R.
  • Consulted with graduate students concerning their statistics work.
Technologies: R, Machine Learning, Statistics

Freelance Work Showcase

This is my freelance website that showcases my work.

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

It supports both English and French.

Cartoline

This Shiny app helped internal operators anticipate issues on the electricity grid and decide whether they should send someone before more serious issues could appear.

The client hired me to improve the already existing app and make it look professional by speeding it up, improving the design with the help of a designer, and adding many new data visualizations involving maps, timelines, custom tables, and multi-screen forms.

Examples of before/after follow.

Before:
• https://www.charlesbordet.com/assets/images/services/enedis-home-old.png
• https://www.charlesbordet.com/assets/images/services/enedis-anal-old.jpg

After:
• https://www.charlesbordet.com/assets/images/services/enedis-home-new.png
• https://www.charlesbordet.com/assets/images/services/enedis-anal-new.jpg

Languages

SQL, R, Markdown, CSS, HTML, Python, JavaScript

Frameworks

RStudio Shiny

Libraries/APIs

Tidyverse, Ggplot2, NumPy

Tools

Git, Dplyr, LaTeX, Shell, Plotly, NGINX, GitLab, DataTables, Jenkins, Jira, Docker Compose, GitLab CI/CD, Bitbucket

Paradigms

Data Science, Agile

Platforms

RStudio, Linux, Amazon EC2, Docker, Ubuntu, Amazon Web Services (AWS)

Storage

PostgreSQL, MySQL

Other

Statistics, Data Analysis, Data Visualization, APIs, System Administration, Machine Learning

2013 - 2015

PhD (Not Completed) Degree in Statistics

Université Laval - Québec, Canada

2011 - 2013

Master's Degree in Statistics

Université de Strasbourg - Strasbourg, Alsace, France