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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx3
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NHariman/README.md

Welcome! 👋

🧪 Medical research scientist turned programmer keen on writing maintainable code and projects. With a side interest in researching how machine learning can be used to analyse or interpret medical and/or drug data and effective communication of scientific topics to the public.

📋 Current project

🖱️ TBD

📖 Learning

  • Vue
  • React
  • NestJs

💻 Skills

📝 Notable project

LDA model usage for exploratory research, presented at the Benelux Conference on Artificial Intelligence 2018, published under Benelux Conference on Artificial Intelligence 2018.

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  1. transcendence transcendence Public

    Forked from MichelleJiam/transcendence

    A single-page web app featuring a multiplayer Pong game. A collaborative 42/Codam project

    TypeScript

  2. foodserv foodserv Public

    A functional HTTP server written in C++ capable of sending and receiving HTTP requests, displaying websites and its content and executing CGIs

    C++ 2

  3. CODAMxTOMTOM-wordle-sandbox CODAMxTOMTOM-wordle-sandbox Public

    Created with CodeSandbox. Simplistic recreation of the popular game Wordle as techical assignment.

    JavaScript

  4. minishell minishell Public

    A simplified shell program that follows the rules of bash capable of executing prompts, piping prompts and redirecting input

    C

  5. LDA-model-SCS-2018 LDA-model-SCS-2018 Public

    Preprocessing and LDA model used during my internship at Science Communication And Society from April to December 2018

    Python

  6. SCS-2018-FINAL_LDA_MODEL SCS-2018-FINAL_LDA_MODEL Public

    scripts used for preprocessing and the final LDA model used in the final research report: An exploration of cancer-related coverage in journalistic texts from 1970 to 2018 using Automated Topic Mod…

    Jupyter Notebook