Hi, It's Reese!

I'm a

With a background in computer science and mathematics, I’m passionate about harnessing data to tackle real-world challenges and develop meaningful, actionable solutions!

Currently, I'm pursuing job opportunities in data science and engineering, as well as business and research analytics!

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EXPERIENCE

2020

Saint Ignatius College Preparatory

Graduated with honors and distinction earning a 4.3 GPA.

2022

Marketing Analyst | Saffron Communities

Leveraged Excel to analyze and manage event data. Provided data-driven recommendations to support strategic decision-making. Developed and managed social media strategies, enhancing event promotion and engagement.

NCAA DIII Athlete | NYU Varsity Swimming

Balanced 24+ hours per week of training, travel, and competition with academic responsibilities. Developed strong time management, concentration, and leadership skills. Recognized for academic excellence by the Intercollegiate Athletics Advisory Committee.

2023

Teaching Assistant | NYU Courant Institute

Utilized python in Introduction to Computer Programming to analyze and debug student assignments, enhancing code accuracy and efficiency. Delivered data-driven feedback to students, aiding in the development of their programming skills.

2024

Teaching Assistant | NYU Courant Institute

Applied java in Data Structures to develop efficicent solutions and algorithms for complex problems. Provide feedback and guidance to students on optimizing code performance and effective implementation of data structures.

2025

New York University

Undergraduate student at NYU majoring in Computer Science and minoring in Mathematics.

PROJECTS

Ocean Heat Flux Analysis

Python (Pandas, Seaborn, Cartopy)

Generated global plots and seasonal overlays to visualize latent heat flux trends in the ocean surface. Computed and compared regional correlations between salinity, temperature, and heat flux in ENSO years. Interpreted spatial patterns to identify temperature as the dominant influence on latent heat flux.

Predicting Airbnb Prices in Europe

Python, SQL, R

Conducted exploratory data analysis (EDA) to identify trends in listing prices based on features like property type, location, and amenities. Optimized regression and deep learning models like Multi-Linear Regression, Gradient Boosting, and Deep Neural Networks to predict airbnb prices. Visualized key insights to determine significant predictors of airbnb prices across Europe.

Obesity Rates Analysis

Python, SQL, R

Performed exploratory data analysis (EDA) based on fast food restaurant density and obesity rates across the United States. Built predictive models and data visualizations to explore potential correlations between these variables. Utilized clustering algorithms, like PCA and K-Means, to identify underlying patterns.

NYC Bars Web-App

Python, Docker, Flask, MongoDB, HTML, CSS

Developed a full-stack website that manages and organizes NYC bars by various features, enhancing user exploration and discovery. Utilizes Docker containers to create a portable and scalable deployment environment. Implements dynamic search, filtering, and personalized recommendations to improve user experience.

CERTIFICATES

Google Advanced Data Analytics

In progress... TBC May 2025

  • "Explore the roles of data professionals within an organization."
  • "Build regression and machine learning models to analyze and interpret data."
  • "Create data visualizations and apply statistical methods to investigate data."
  • "Communicate insights from data analysis to stakeholders."

Microsoft Business Analytics

In progress... TBC May 2024

  • "Identify, analyze, and document business problems and opportunities using various requirements-gathering techniques."
  • "Use Microsoft Excel for data preparation, analysis, and visualization."
  • "Model business process and data using industry-standard techniques and communicate these models effectively to stakeholders."
  • "Demonstrate your new skills with a capstone project using real-world scenarios."

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