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:shipit:
easy applying
:shipit:
easy applying
6 followers · 5 following

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Achievements

Achievement: Public SponsorAchievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

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ehvenga/README.md

Hey there! 👋 I'm Hari

Full-Stack Developer & Data Science Enthusiast from Peoria, Illinois

I'm a love crafting scalable applications and diving into the world of data.
Currently, I'm honing my skills through a Master's degree in Data Science and Analytics.

Languages and Tools:

Languages python
Python 		javascript
JavaScript 		typescript
TypeScript 		html5
HTML 		css3
CSS
Front End react
React 		angular
Angular 		vuejs
Vue 		nextjs
Next 		nuxtjs
Nuxt 		svelte
Svelte
sass
Sass 		bootstrap
Bootstrap 		babel
Babel 		tailwind
Tailwind 		redux
Redux 		webpack
Webpack
Back End nodejs
Node 		express
Express 		django
Django 		gcp
GCP 		firebase
Firebase
DevOps aws
AWS 		docker
Docker 		kubernetes
Kubernetes 		git
Git 		bash
Bash 		heroku
Heroku
AI/ML tensorflow
TensorFlow 		pytorch
Pytorch 		scikit_learn
Scikit-learn 		pandas
Pandas 		seaborn
Seaborn
Other postgresql
Postgres 		mongodb
MongoDB 		mysql
MySQL 		postman
Postman 		figma
Figma 		illustrator
Illustrator

Pinned Loading

  1. backward.compatible.modular.system.configuration-fastapi-nextjs backward.compatible.modular.system.configuration-fastapi-nextjs Public

    Modular System Configuration: Optimizing backward compatibility for efficient product design and development. A dynamic programming approach to streamline system configurations, enhance collaborati…

    Python

  2. json-to-html-table json-to-html-table Public

    The "json-to-html-table" package is a useful tool for developers who need to quickly and easily convert JSON data into an HTML table. With just a few lines of code, you can use this package to take…

    JavaScript

  3. mnist.handwritten.digit.recognition-tensorflow mnist.handwritten.digit.recognition-tensorflow Public

    This Jupyter Notebook demonstrates a TensorFlow model for recognizing handwritten digits using the MNIST dataset, focusing on model construction, training, and accuracy evaluation.

    Jupyter Notebook

  4. pokemon.sprite.contest-nextjs-supabase pokemon.sprite.contest-nextjs-supabase Public

    This project tracks the best Pokemon sprite generation. It aims to collect data on which generation's sprites are most popular and provides insights into the community's preferences.

    TypeScript

  5. mybooks mybooks Public

    An e-commerce website designed for specifically selling books and publications, users purchase and review listings.

    JavaScript

  6. myweather myweather Public

    myweather is a weather updates web application where i test out my skills in handling external and internal apis.

    JavaScript