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pull sharking
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pull sharking
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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

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Abuzariii/README.md

Hi there 👋, I am Muhammad Abuzar

I am a Software Engineer

Building dynamic, data intensive web applications using industry standard coding best practices


💬 Connect with me:

Abuzar | LinkedIN Abuzar | hashnode Abuzar | medium

🖥️ Present :

Working as a Full Stack Software Engineer at Trilops, building scalable and dynamic healthcare software solutions. I am also offering services as a research assitant for academics, helping them in brainstorming innovative project ideas, program their solutions and draft project documentations like theses and dissertations according to academic standards.

🚀 Languages and Tools:

python tensorflow

📝 Click to know about my work :

I am a skilled MERN/MEAN Stack Developer who can build highly responsive UIs, Web Applications and APIs. I am working as a Software Engineer at Trilops, building healthcare softwares including EMR systems, Patient Portals and Case Management Softwares. My stack includes, but is not limited to React.js, Angular, Next.js, NestJS, PostgreSQL, Tensorflow and PowerBI. I am proficient in Python and JavaScript programming languages.

I also work as a research assistant with Researchers & Scholars to help them materialize deep learning projects, particularly in the domains of Natural Lagnguage Processing and Computer Vision. I can train, fine tune and deploy highly accurate models for pretty much any task including sentiment analysis, regression, classification, object detection and recognition.

View all my certifications here : https://github.com/Abuzariii/Certificates

📈 My GitHub Stats

Abuzar's GitHub stats

GitHub Streak

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  1. Lips-Love----Makeup-Webiste Lips-Love----Makeup-Webiste Public

    A full stack makeup e-commerce website built with MERN stack

    JavaScript 1

  2. FIFA-23-GraphQL-API FIFA-23-GraphQL-API Public

    Exposed entire FIFA 23 players' dataset through graphql

    JavaScript

  3. COVID-19-Vaccine-Effectiveness-by-Age-Groups COVID-19-Vaccine-Effectiveness-by-Age-Groups Public

    Analyzed the effectiveness of COVID vaccine on 8 different age groups and trained 5 classification machine learning models to check whether the the vaccine developed immunity in 100k people from an…

    Jupyter Notebook

  4. Kaggle-House-Prices-Advanced-Regression-Techniques Kaggle-House-Prices-Advanced-Regression-Techniques Public

    Linear Regression on House Price Regression Advanced Techniques dataset from Kaggle.

    Jupyter Notebook

  5. FIFA-23-EDA-and-Power-BI-Dashboard FIFA-23-EDA-and-Power-BI-Dashboard Public

    Data Cleaning, EDA and Visualization on entire FIFA 23 Dataset with Python and Power BI

    Jupyter Notebook 2

  6. gdsciub gdsciub Public

    Forked from GDSCIUB/gdsciub

    Website of Google Developer Student Club, IUB Chapter

    JavaScript 1