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dani-yash Goto Github PK

followers: 5.0 following: 2.0 repos: 11.0 gists: 0.0

Name: Yash Dani

Type: User

Company: York University

Bio: Final Year, Hons. BSc, Computer Science. Budding developer set out to bring ideas to life through code and creativity👨‍💻 A driven student of life!

Location: Toronto, Canada

Hi 👋, I'm Yash Dani

Where imagination meets innovation: Engineering the future, one line of code at a time.

Coding

  • 🔭 I’m currently working on an interesting research project on information networks modeling the spread of fake news on social media and exploring various aspects of such network!

  • 🌱 I’m currently learning courses on Information Networks and Machine Learning

  • 💬 Ask me about anything!

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact There are 293 ways to make change for a dollar (Moral: If there's a will, there's a way!😆)

Connect with me:

yashdani-

Languages and Tools:

android angular babel c circleci cplusplus css3 docker elixir express figma git graphql html5 invision java javascript jenkins kotlin kubernetes linux mongodb mysql nodejs postman python react selenium sqlite

Yash Dani's Projects

graphql-product-manager icon graphql-product-manager

A GraphQL-based API to manage product information (CRUD operations) using MongoDB for product data storage.

hammer-strike icon hammer-strike

A full stack, operational web application for auction services complete with detailed design document, diagrams, testing and reports

learning-elixir icon learning-elixir

These are the exercise files I practised to learn functional programming and Elixir from a LinkedIn Learning course

library-management-system icon library-management-system

This is a GUI based software design project with lifelike extensive functionality, with a focus on implementing various design patterns and complete with design documents, diagrams, testing and reports.

link-analysis-prediction-community-detection icon link-analysis-prediction-community-detection

This project investigates the temporal dynamics and structural properties of co-authorship networks using the DBLP dataset for 2005 and 2006. Our analysis includes generating temporal snapshots, performing link analysis, predicting future collaborations, and detecting community structures.

network-models-and-measurements icon network-models-and-measurements

This project focuses on generating and analysing key properties of various networks using the following graph models: Erdős-Rényi Random, Watts–Strogatz Small-World and Barabási–Albert Preferential Attachment. Includes the code and report.

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