thisisaayush's repositories
C-Sharp-Projects
Prototypes: Completed multiple intensive C# projects to hone my skills and understanding, enabling me to efficiently implements C# skills in building embedded/gaming software projects. Steps to hone my programming skills!
Programming-Language
This repository is designed to support the students at MNSU who are struggling in CIS121- Python and Data Structures and Algorithms Course and to help them understand programming language in ease and confident way. "An attempt to make learning journey beautiful and memorable." -Aayush
E-Commerce-Application
Developed modern, complex, and scalable full-stack e-commerce website using ASP.NET Core, and implemented MVC Architecture for CRUD Operations, and integrated features like authentication, authorizations, repository pattern to access database, and deployed the application on Microsoft Azure.
Core-Java
Advanced Concepts & Implementations using Java
Front-End-Development-Angular
Worked on modern, complex, responsive, and scalable web application designs and development using Angular and gained deep understanding of Angular Test-Driven Development and Architecture methods such as modules, components, directives, databinding, routing, and HTTP access.
aayushwebsite
- freeCodeCamp Course: Designed and Developed a simple portfolio project using HTML, CSS, and JavaScript.
Test-E-Commerce-Application-Do-Not-Delete
Developed modern, complex, and scalable full-stack e-commerce website using ASP.NET Core, and implemented MVC Architecture for CRUD Operations, and integrated features like authentication, authorizations, repository pattern to access database, and deployed the application on Microsoft Azure.
Front-End-Portfolio-Project
Implemented latest technologies such as JavaScript, React, Node, and Web 3 Development and mastered professional developer best practices in developing frontend and backend applications.
Database
Implemented the knowledge of database to store data in tables, understand the importance of normalizations, and added rules- constraints, views, and triggers- on the data, and speed up queries use. Further, implemented backups, restore data, and data security features.
Data-Science-Machine-Learning
Implemented Machine Learning Algorithms to expand knowledge on data analysis and generate interactive dynamic visualizations- pandas, numpy, plotly, K-Means Clustering, SciKit, Logistic Regression, Linear Regression, and random trees.