Breaking Games logoCurrently an Extern @Breaking Games·🟢 Open to work
Raymond Manento portrait

Data Scientist | Master in Data Science Candidate

I design and organize data so you don't have to.

Work samples

Here are examples of my work. I specialize in data projects across various sectors, particularly enjoying FinTech.

  • S&P 500 Index Composition and Concentration Analysis
    S&P 500 Index Composition and Concentration Analysis

    Scraped and cleaned S&P 500 constituent data (Wikipedia, yfinance); analyzed sector weight vs. company count and 10-year sector ETF returns. Measured concentration with the Herfindahl-Hirschman Index (HHI): top 10 holdings hold about 40% of index weight and the HHI runs about 10x the equal-weight baseline.

    PythonPandasMatplotlibSeabornJupyter

About me

I design and organize data so you don't have to.

As a Data Science Researcher at the Transportation Lab, I apply my analytical skills to tackle real-world transportation challenges. Currently, I am pursuing a Master's in Data Science, expected in 2028, which enhances my expertise in data analysis and machine learning. My journey is driven by a passion for using data to improve systems and create impactful solutions in the transportation sector.

Externships

SQL & Database Architecture Externship with Breaking Games

Breaking Games

Experience

Graduate Research Assistant

University of North Florida, Transportation Research Laboratory · Aug 2026 – Present

Data Analyst Extern

Breaking Games (via Extern) · Aug 2026 – Present

Product Analyst (Contract)

Radian Limited · Jan 2024 – Sep 2026

IT Services Technician

Andrews University · Aug 2023 – May 2025

Web Developer

Andrews University Development Office · Dec 2023 – Apr 2024

Education

University of North Florida

M.S. in Computer and Information Sciences, Data Science Concentration · Class of 2028

Andrews University

B.S. in Computer Science · Class of 2025

Skills

SQLDatabase designSchema modelingQuery optimization basicsRelational databases

S&P 500 Index Composition and Concentration Analysis

Scraped and cleaned S&P 500 constituent data (Wikipedia, yfinance); analyzed sector weight vs. company count and 10-year sector ETF returns. Measured concentration with the Herfindahl-Hirschman Index (HHI): top 10 holdings hold about 40% of index weight and the HHI runs about 10x the equal-weight baseline.

PythonPandasMatplotlibSeabornJupyter
View all work