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Learn from Fellows working at cutting-edge companies across the United States.
Are you intrigued by the dynamic world of finance, where decisions made today can shape the economies of tomorrow? Welcome to our space finance project, where we dive deep into the intricate mechanisms of securitized financial markets, investment strategies, and risk management techniques. Embark on a journey that challenges your intellect and sharpens your analytical skills as we explore topics ranging from capital structure optimization to rating agency arbitrage. Through hands-on exercises, real-world case studies, and collaborative discussions, you'll gain invaluable insights into the principles that drive global financial systems. Whether you're a seasoned enthusiast or just beginning to explore the world of finance, this project promises to equip you with the knowledge and tools necessary to navigate the complexities of today's financial landscape.
Under the supervision of an experienced industry expert, you'll learn how financial analysts assess risk and investors decide where to put their money to work. You'll become familiar with Excel modeling, scenario analysis and the structured products methodology. All this will happen in an environment that simulates the operations of a real investment team.
In this project, we task you with creating a robust and feature-rich Stock Monitoring and Analysis system using Angular for the Front-end and Java Spring Boot for the Back-end.
Your mission: build a user-friendly dashboard where users can track and manage their stock portfolios and monitor real-time prices. Take on the challenge of designing a secure user authentication system and explore the intricacies of database management. Dive into the world of finance by retrieving and updating stock price data. This project will help you gain valuable experience in API integration, data processing, storage and retrieval, as well as information display and visualization.
The project seeks to understand how different methodologies can be effectively utilized to interpret the underlying sentiments expressed in social media content, with a focus on interpreting context and the detection of nuanced expressions such as sarcasm. You will get exposed to working with APIs, data processing, storage, and querying along with information display and visualization. Students will create a repository that will contain well-documented code, a README detailing the project's purpose, how to set up and run the code, and examples of the analysis performed. The project aims to provide a practical example of sentiment analysis from start to finish, including the challenges faced and how they were addressed. This project represents the tasks you do working as a software engineer in a data-driven field.