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Hi there! , I'm Abey George

An IT Graduate from St. Xavier's College, Mumbai with a keen interest in Technology, Web Dev, Deep Learning, Cloud Computing & Linux.

  • 👨‍💻 Getting Stronger at DSA with Java & learning Golang along with DevOps & Cloud.
  • 📚 I’m currently learning everything about Frontend and Backend technologies.
  • 💪🏼 Future Goals: Learn more technologies - Never stop learning and creating new ideas.

Connect With Me 📝

abey | LinkedIn abey | Twitter abey | Instagram abey | Github abey | Gmail

🛠️ Skills

Languages

python   java   javascript   Go   c++   dart   php   R

Cross Platform Development

flutter  

Front-End Development

reactjs   redux   html5   css   sass   bootstrap   materialui   jquery  

Back-End Development

nodejs  

Database

mongo   mysql   postgresql   sqlserver   sqlite oracle

Platform as a Service (PaaS)

netlify   heroku   firebase   docker  

Version Control System (VCS)

git   github

🖥️ Workspace

ubuntu   intel   nvidia acer logitech vscode vivaldi brave datagrip

📈 Stats

Abey's GitHub stats

Top Langs

Data Card for Spotify

Abey George's Projects

alinea icon alinea

Content management for the modern web

auto-irrigation-system icon auto-irrigation-system

The problems regarding the manual irrigation system were analyzed and noted. This project aims to solve those problems and thus, add more value to the new and efficient Auto-irrigation system.

leetcode icon leetcode

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub).

task-manager icon task-manager

A task manager app created using flutter,firebase and sqlite.

tasker-gocli icon tasker-gocli

Tasker CLI is a task management system for technical people. It is command-line component that is very fast and easy to use.

unsupervised-learning icon unsupervised-learning

We use a unsupervised learning algorithm called K-Means to predict the optimum number of clusters.K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to assign a point to a cluster. In K-Means, each cluster is associated with a centroid.

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