Skip to content
View PierreENOlivier's full-sized avatar
πŸ’­
Open To Work as a Data Analyst/Data Scientist
πŸ’­
Open To Work as a Data Analyst/Data Scientist

Block or report PierreENOlivier

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
PierreENOlivier/README.md

Hi there πŸ™‹β€β™‚οΈ

I am Dr. Pierre Olivier, a data analyst/data scientist with a passion for the sea and environment.

πŸ’§ About Me in 30 Secs πŸ’§

  • I have a Ph.D. in biological oceanography since April 2022 πŸ§‘β€πŸ”¬
  • I apply statistics and machine learning to (environmental) data
  • I have a rare skill: I combine networks, graphs, and time series (see my publications)
  • I regularly expand my skill set: currently learning "Tableau" & Mexican Cumbia (πŸ•ΊπŸ’ƒ)
  • I love teaching and communicating science through blogs and social media @SHINE.Science and @OceanFact

πŸ““ Portfolio πŸ““

🧠 Core Competencies 🧠

  • Main tools: SQL, R Programming (🌟personal favourite), Python
  • Skills: Data cleaning and wrangling, Data analysis, Data visualization, Reporting and Oral communication to technical and non-technical stakeholders
  • Secondary tools: MS Office, Adobe CC
  • Linguistics: English (C1), French πŸ₯– (native), Spanish (B2)

πŸ’» Some of the tools and techniques I have used πŸ’»

Graph theory and network analysis

  • Unipartite networks (e.g. 'food webs')
  • Bipartite networks (e.g. 'plant-pollinator'
  • Topological analysis
  • Flow analysis
  • Time series analysis

  • Time series analysis of networks
  • Stock market time series analysis
  • Machine learning & other algorithms

  • PCA for summarizing main temporal trends
  • Co-inertia analysis (e.g. fourth-corner) for testing variable associations
  • Clustering for species grouping
  • Random Forest for classification
  • πŸ“š Currently Learning πŸ“š

    • Tableau
    • Dashboards with Shiny Apps and Streamlit

    βœ‰οΈ Connect with Me βœ‰οΈ

    Pinned Loading

    1. datascience_portfolio datascience_portfolio Public

      My data science portfolio

      R 1

    2. my_tidytuesdays my_tidytuesdays Public

      A series of data science challenges exploring one new dataset every week

    3. PO_R_For_DataScience PO_R_For_DataScience Public

      Exploration of methods using R for Data Science

      HTML

    4. traitwebs traitwebs Public

      Supplementary tables

      1