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SaniaNisar/README.md

Hey there I'm Sania Nisar

Always learning new things!

sania

Software Engineer from FAST NUCES, Lahore. I'm passionate about learning new things and staying up-to-date with technology. I always look for opportunities that challenge my creativity, problem-solving, and analytical skills.

🚀 Currently Working

I'm working as a Software Engineer - I at Arrivy.

SkillSet

Frontend:


Backend:


Database:

Artificial Intelligence:


Languages:


Design:


IDEs:



About Me

  • 🔭 Software Engineer - I at Arrivy
  • 💫 xWeb Developer - Software Engineer Intern at Octek || xTeaching Assistant - FAST NUCES, Lahore
  • 👯 I’m looking to elevate my skills and gain experience
  • 💬 Contact me for Tech Related queries or for freelancing
  • 😄 Pronouns: She/Her
  • ⚡ Hobbies: I am fond of Badminton, Arts and Crafts

🌐 Connect With Me :

LinkedIn
Instagram

My Contibutions

top langs

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  1. RespiraSense-FYP RespiraSense-FYP Public

    RespiraSense - Lung Disease Detection System

    TypeScript

  2. NxN-Sliding-Puzzle-Problem NxN-Sliding-Puzzle-Problem Public

    A classic problem where the objective is to arrange a set of numbered tiles in a specific order

    Python

  3. MNIST-digit-recognition MNIST-digit-recognition Public

    Identification of digits from a dataset of tens of thousands of handwritten images

    Jupyter Notebook

  4. Appointment-Management-System Appointment-Management-System Public

    This project is a full-stack web application that allows users to create, view, register for, and manage appointments. It is built with React.js for the frontend, Node.js and Express for the backen…

    JavaScript 1

  5. Melosphere-Music-Streaming-Platform Melosphere-Music-Streaming-Platform Public

    Welcome to Melosphere, the ultimate music streaming platform where you can discover, stream, and enjoy your favorite tunes! This project aims to create a seamless music experience with user-friendl…

    Java

  6. FacultyWebScrapping FacultyWebScrapping Public

    This project focuses on web scraping faculty data using Python, leveraging libraries such as BeautifulSoup, Selenium, and Pandas.

    Jupyter Notebook