FinnForecast
A Hybrid Model for Stock Market Forecasting integrating statistcal forecasting program with an Artifical Intelligence model.
Comp Sci & Econometrics Major
University of South Florida
Judy Genshaft Honors College
Here's a little about me.
I'm an undergraduate student at USF looking to start a career in Data and AI. This coming year (Fall 2024 - Spring 2025) will be my last year in college, and my upcoming coursework includes topics such as software engineering, artifical intelligence, natural language processing, and much more. I am also interning as a Techincal Scholar at TD SYNNEX, which is giving me a lot of knowledge about the IT industry and its business achitecture. I'm also active in a few other roles, and have a few projects under my belt (and more on they way), so please feel free to read up on what I have listed, and reach out if you have any questions.
Here are a few of my strongest skills I've gained in my educational and professional career.
Here are some projects I've completed in the last few months.
A Hybrid Model for Stock Market Forecasting integrating statistcal forecasting program with an Artifical Intelligence model.
A Full-Stack web app using Ruby and SQLite to create a course search/registration system.
A research paper and project analyzing whether the VAR or ARIMA statistical model is better for forecasting CPI, Trade Balance, and Unemployment.
Here are my current roles/jobs I'm working on.
Since March 2024
As a Technical Scholar Intern at TD SYNNEX, I work to assemble Bills of Materials (BOMs) for resellers and identify configurations to meet their needs. I have also worked with vendor teams to identify solutions for more technical problems. Weekly, I meet with my mentor to talk about professional development, configure/install hardware in the Demo Lab, and connect with managers from other departments to work on projects.
Since July 2024
I have just began working as a SWE Fellow at Headstarter AI. During this fellowship, I aim to complete 5 AI-related projects, complete interview training, compete in weekly hackathons, and complete a final project.