Shiny Developer
2020 - 2021Enedis- 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, BitbucketMachine Learning Researcher
2019 - 2020Dexeo 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, RData Teacher
2017 - 2020Professional 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, RR/Shiny Developer
2019 - 2019Quote 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, RData Scientist
2018 - 2019Real 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, RR Developer
2018 - 2018CNRS- 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, RResearch Assistant in Statistics and R
2018 - 2018Aarhus 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 MiningDeveloper (R, Shiny)
2018 - 2018BCG- 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, RResearch Assistant in Statistics
2018 - 2018EMMA 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, StatisticsData Scientist
2017 - 2017Cargo 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 AnalyticsStatistical Engineer
2015 - 2017Sonovision- 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, StatisticsPhD Student in Statistics (not completed)
2013 - 2015Université 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
Charles Bordet
Data Visualization Developer in Lyon, France
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.
Charles is now available for hire
Portfolio
- EnedisR, RStudio Shiny, HTML, CSS, JavaScript, Git, Agile, Jira, Bitbucket
- Dexeo TechnologieClassification, Machine Learning, Text Mining, R
- Professional TrainingArtificial Intelligence (AI), Deep Learning, Machine Learning, Statistics...
Experience
- R 6 years
- Git 5 years
- Data Visualization 4 years
- CSS 4 years
- HTML 4 years
- JavaScript 2 years
- System Administration 2 years
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
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, JavaScriptFrameworks
RStudio ShinyLibraries/APIs
Tidyverse, Ggplot2, NumPyTools
Git, Dplyr, LaTeX, Shell, Plotly, NGINX, GitLab, DataTables, Jenkins, Jira, Docker Compose, GitLab CI/CD, BitbucketParadigms
Data Science, AgilePlatforms
RStudio, Linux, Amazon EC2, Docker, UbuntuStorage
PostgreSQL, MySQLOther
Statistics, Data Analysis, Data Visualization, APIs, System Administration, Machine Learning, AWS
Education
- PhD (Not Completed) Degree in Statistics2013 - 2015Université Laval - Québec, Canada
- Master's Degree in Statistics2011 - 2013Université de Strasbourg - Strasbourg, Alsace, France
