Charles Bordet, Data Visualization Developer in Lyon, France
Charles Bordet

Data Visualization Developer in Lyon, France

Member since November 29, 2017
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.
Charles is now available for hire

Portfolio

  • Enedis
    R, RStudio Shiny, HTML, CSS, JavaScript, Git, Agile, Jira, Bitbucket
  • Dexeo Technologie
    Classification, Machine Learning, Text Mining, R
  • Professional Training
    Artificial Intelligence (AI), Deep Learning, Machine Learning, Statistics...

Experience

Location

Lyon, France

Availability

Part-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.

Employment

  • 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: Classification, Machine Learning, Text Mining, 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: Artificial Intelligence (AI), Deep Learning, 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, Caret, 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: Azure, 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), AWS, Web Scraping, R, Machine Learning, Text Mining
  • 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: Azure, 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: Research, LaTeX, Models, 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), AWS, RStudio Shiny, SQL, R, Generalized Linear Model (GLM), Analysis, Machine Learning, Customer Analytics
  • 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, Research, Machine Learning, Statistics

Experience

  • 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

Skills

  • 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, AWS EC2, Docker, Ubuntu
  • Storage

    PostgreSQL, MySQL
  • Other

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

Education

  • PhD (Not Completed) Degree in Statistics
    2013 - 2015
    Université Laval - Québec, Canada
  • Master's Degree in Statistics
    2011 - 2013
    Université de Strasbourg - Strasbourg, Alsace, France

To view more profiles

Join Toptal
Share it with others