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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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@hackforla

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palakkeni5/README.md

Hi 👋, I'm Palak Pramod Keni

A passionate full stack developer looking to grow my professional career

palakkeni5

Connect with me

palak-keni

Organizations that I have previously worked in

Juniper Networks Oracle Quantiphi Analytics

Languages and Tools:

angular bash bootstrap c css3 docker express flask git heroku html5 java javascript jest kubernetes linux mocha mongodb mysql nodejs oracle postgresql postman python react spring typescript

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  1. wallpaper-app wallpaper-app Public

    An app developed in React Native to search, view and set wallpapers for Android and IOS devices.

    JavaScript

  2. awesome-superstore-app awesome-superstore-app Public

    A consolidated repo of the web application as well as ETL workflows developed for business use case 'awesome superstore inc.'. This project was developed as a part of the NYU Fall 2023 course ECE-G…

  3. one-room-chat-app one-room-chat-app Public

    This project aims to develop a real-time multi-user chat application with a single chat room that allows users to communicate with each other.

    Java

  4. Weather-App Weather-App Public

    A single page weather application developed in react. The app is deployed on github pages and can also be built to run natively on desktop

    JavaScript

  5. Analyzing-Modern-Deep-Learning-Approaches-for-Spoiler-Detection-in-Text Analyzing-Modern-Deep-Learning-Approaches-for-Spoiler-Detection-in-Text Public

    Forked from dipitvasdev/Analyzing-Modern-Deep-Learning-Approaches-for-Spoiler-Detection-in-Text

    When choosing to watch a movie or TV show, reviews and ratings are often relied upon to make informed decisions. However, these reviews can inadvertently reveal significant plot details, leading to…

    Jupyter Notebook

  6. Time-Series-Data-Predictions-analysis-using-Weather-Data Time-Series-Data-Predictions-analysis-using-Weather-Data Public

    Jupyter Notebook