Project Title: | Investment Analysis of Decentralized Applications for iBriz.ai |
Author: | Mr. Tushar Goyal |
Advisor: | Ms. Yhing Sawheny |
Degree: | Bachelor of Business Administration (International Program) |
Major: | Finance and Banking |
Faculty: | Business Administration |
Semester / Academic year: | 2/2021 |
Citation
Goyal, Tushar. (2021). Investment analysis of decentralized applications for iBriz.ai. (Cooperative Education). Bangkok: Siam University.
Abstract
This cooperative report titled “Investment Analysis of Decentralized Applications for iBriz.ai” aims to study the process of analyzing decentralized applications for investment. The objectives of the study include
- To understand the working mechanism of Decentralized Finance Applications,
- To understand the factor that leads to the popularity of Game-Fi products and,
- To study the factors while investing in Decentralized applications.
- To find the process of investing in the decentralized application. I was awarded the Consultant position at iBriz, and my primary responsibility was to find an investment opportunity for the company to invest in various Decentralized apps. I was also assigned to research in the blockchain world, write a detailed review about DeFi Apps, blockchain games, and NFT’s projects, and explain it to my supervisor.
During my internship, I learned various valuable skills such as the working mechanism behind de-fi products, using them to analyze blockchain-based assets, regulations regarding smart contract laws in various countries, and many more.
Upon completion of the internship, with proper guidance and experience, I was able to encounter and solve problems. Along with fulfilling the study objective, I realized the importance of good soft skills in a workplace environment, meaningful result-oriented work, presenting ideas, and being up to date with the current happenings in the industry.
Keywords: blockchain, decentralized applications, research, analyze, DeFi.
Investment Analysis of Decentralized Applications for iBriz.ai
Faculty of Business Administration, Siam University, Bangkok, Thailand