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Achievement: Pull SharkAchievement: Pair Extraordinaire

Achievements

Achievement: Pull SharkAchievement: Pair Extraordinaire

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aymennasri/README.md

Hi there, I'm Aymen Nasri! 👋

About Me

An AI & Data Science Engineering Student at EPI Digital School who has experience in R for data science problematics and Python for anything AI-related; from using LLMs after finetuning or RAG and deploying them, to OCR and dealing with multimodal inputs.

The author of {ggfootball}, {tndata}, a contributor in {worldfootballR} and the main collaborator in zed-r; an extension for R programming on the Rust-based IDE Zed.

Currently working on developing AI solutions for day-to-day tasks to help improve productivity in various fields.

Based in Tunisia. 🇹🇳

📊 GitHub Stats

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  1. ggfootball ggfootball Public

    An R package for plotting understat data; an xG chart and a shot map.

    R 1

  2. tndata tndata Public

    Fetch datasets from the Official Tunisian Data Catalog.

    R 1

  3. JaseZiv/worldfootballR JaseZiv/worldfootballR Public archive

    A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat

    R 578 91

  4. ocsmit/zed-r ocsmit/zed-r Public

    R language support for Zed editor

    Tree-sitter Query 41 11

  5. QuartoPlotsThemeSwitcher QuartoPlotsThemeSwitcher Public

    A javascript file to change plots themes depending on the theme of the Quarto page.

    JavaScript

  6. AnalyzingTheIMDBdataset AnalyzingTheIMDBdataset Public

    Full detailed data science report exploring the IMDB dataset.