Financial Data Science
Utilizing data-driven analysis and machine learning to perform financial research.
Example Project
This is Eco-Folio, a financial analysis companion tool built by one of our interns, Martin Palencia. It uses real world data to optimize user investment choices.
Try it for yourself here:
Learning Opportunities
Practical exposure to real-world financial data analysis and modeling.
Hands-on experience with Python and C++ programming languages in a finance context.
Mentorship and guidance from experienced professionals in the field.
Opportunity to develop critical thinking, problem-solving, and analytical skills.
Collaborative work environment that encourages knowledge sharing and teamwork.
Volunteer Hours: Earn volunteer hours while contributing to the organization's initiatives.
Intern Structure
We employ a project for our interns that role spans several months, focusing on the development of a machine learning network for stock-picking decisions. It kicks off with the collection and preprocessing of historical financial data, involving stock prices, economic indicators, and news articles.
The project emphasizes the selection of the appropriate machine learning algorithm, followed by training, validation, and real-time data integration, with an emphasis on ongoing evaluation and optimization. Once completed, we deploy the model into a live trading environment and ensure its accuracy through continuous monitoring and comprehensive documentation.
