ANDREW GALAS JR. | UNC Chapel Hill • Data Science & Risk Management
OFFICIAL ARCHIVE & PORTFOLIO

Data Infrastructure &
Quantitative Investments

Student at the University of North Carolina at Chapel Hill studying Data Science, Information Systems, and Risk Management. Architecting scalable data engineering pipelines, quantitative market frameworks, and geospatial models.

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Andrew Galas Jr.

University of North Carolina at Chapel Hill

Chicago, IL

About Me & Professional Focus

My name is Andrew Galas Jr. I am a student at the University of North Carolina at Chapel Hill. A primary goal of mine sits at the intersection of finance, data analysis, and strategic decision-making. Through my experience in financial planning, payroll reporting, data modeling, and startup marketing, I have developed a strong interest in using data to improve business performance and support smarter operational decisions.

My professional focus has grown out of my interest in using research, mapping tools, and real-world data to better understand communities and decision-making. Through my coursework and independent projects, I have worked with platforms such as Google Earth Engine, QGIS, R, and Python to explore patterns that are not always obvious at first glance.

Whether analyzing public data, building interactive maps, or creating custom web tools, I aim to turn complex information into clear insights that help organizations grow, plan effectively, and make better decisions.

Technical Architecture & Environment

  • Development Platform: Visual Studio Code & Git Version Control
  • Data Engineering & Geospatial: Python, SQL, QGIS, Google Earth Engine, Power BI, R
  • Financial & Operational Tools: Financial Modeling, Excel, Payroll Reporting, Risk Metrics
  • Web Systems: Custom HTML5, CSS3, JavaScript, and GitHub Pages Deployment

Technical Proficiency & Spoken Languages

Technical Skills

Data Analysis (90%)

90%

Microsoft Excel (85%)

85%

Python Programming (80%)

80%

Financial Modeling (75%)

75%

Spoken Languages

English (Native / Fluent)

100%

Spanish (Proficient)

75%

Polish (Conversational)

35%

Regional Base & Academic Anchor

Based in Chicago, Illinois while completing studies at the University of North Carolina at Chapel Hill. Integrating regional financial analysis, technology infrastructure, and local project initiatives across both regions.

Core Disciplines

01. Data Engineering

Building relational database models, high-throughput pipeline workflows, and data processing automation.

02. Financial Analytics

Quantitative research, valuation modeling, asset management metrics, and macroeconomic analysis.

03. Web Application Systems

Designing modern, responsive corporate interfaces managed through structured Git repositories in VS Code.

Academic Coursework

Course Module Focus Area Technical Competencies
Data Structures & Algorithms Computational Complexity & Memory Efficiency Trees, Graphs, Sorting Algorithms
Database Management Systems Relational Architecture & Query Tuning SQL, Database Normalization, Indexing
Geospatial & Remote Sensing Satellite Analysis & Spatial Data Modeling QGIS, Google Earth Engine, GIS Analytics
Economics & Risk Management Financial Decision Making & Quantitative Modeling Macroeconomics, Risk Assessment, Valuation

Project & App Showcase

Predicting the Sweet 16

XGBoost Machine Learning Poster

View Research Poster (PDF)

Predicting the Sweet 16: XGBoost Model

Machine learning research evaluating college basketball team metrics using XGBoost and Logistic Regression across a 3.5K+ row dataset with 23 features.

Night Lights Explorer

Google Earth Engine Satellite App

Launch Earth Engine App →

Geospatial Earth Engine Application

Interactive satellite remote sensing application allowing users to explore nighttime light intensity on a global map, observing changing human development and energy usage.

Hobbies & Endeavors

Software Architecture & Open Source

Designing custom web layouts, automation scripts, and maintaining clean version-controlled code repositories on GitHub.

Investment Strategy & ROI Research

Analyzing capital allocation, financial asset performance, and quantitative valuation models aimed at identifying sustainable, high-ROI opportunities across market sectors.

Fitness & Athletic Discipline

Maintaining physical health through structured weight training, endurance, and lifelong learning.

Faith & Ethical Standard

Grounded in my Christian faith, which serves as the cornerstone for my core values, personal integrity, and professional ethics.

Andrew Galas Jr.

UNC Chapel Hill Student • Aspiring Data Analyst • Chicago, IL

Download PDF Resume

Executive Summary

Data Analytics focused on building reliable ETL pipelines, database architectures, and financial modeling tools. Experienced in financial planning, payroll reporting, startup marketing, full-stack web development, and GIS mapping platforms.

Technical Skills & Core Competencies

Python SQL & Relational Databases ETL Pipelines Quantitative Financial Analytics Power BI HTML5 / CSS3 / JavaScript Git & GitHub Visual Studio Code Google Earth Engine & QGIS

Academic Matrix & Focus Areas

  • Data Engineering & Systems: Database architecture, normalization, query optimization, and pipeline automation.
  • Financial Analytics & Quantitative Research: Asset pricing models, portfolio risk metrics, and macroeconomic data modeling.
  • Geospatial Analytics: Remote sensing, satellite imagery processing, and spatial pattern analysis.

Contact Me

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