Alexander Prospal
Computer Science • Economics
Qualifications

Skills, Coursework & Applied Work

Languages, tools, and CS foundations from coursework and projects. Plus education and applied work building complete systems (security + databases) and iterating on real deliverables.

Highlights
What I’ve built recently

Coursework projects in security and databases, plus ongoing work on my portfolio site, with emphasis on clean structure, input validation, and reliable persistence.

Education
School & Coursework

A quick snapshot of my degree program and the classes most relevant to the work I’m building toward.

Degrees
Case Western Reserve University

B.S. Computer Science (AI Minor, Mathematics Minor)
B.A. Economics (Quantitative Methods Track)
Expected May 2028

Relevant Coursework
Current focus
Machine Learning Algorithms Database Systems Computer Security Data Visualization (R) Linear Algebra Statistics Discrete Mathematics
Technical Profile
Languages, Tools, and Working Style

A quick snapshot of the languages I write, the tools I use to ship reliable systems, and the working style I bring to collaborative projects.

Programming languages
What I write
Python Java SQL R HTML CSS JavaScript

Comfortable moving between scripting, backend logic, data analysis, and frontend presentation.

Tools & technologies
What I build with
Git PostgreSQL JavaFX Flask

Clean pipelines with predictable environments, version control, and strong data constraints.

Strengths
How I work
Strong communication Highly organized Attentive to detail Adaptable

These are traits I've built through collaborative academic projects, technical presentations, and balancing multiple responsibilities.

CS concepts
Foundations
Machine Learning Algorithms MVC Architecture Database Design (3NF) Encryption/Decryption Security Fundamentals

Especially interested in systems where correctness matters, with strong validation, well defined constraints, secure data handling, and failure modes that can be reasoned about.

Math & Quantitative
Background
Linear Algebra Statistics Discrete Math Quantitative Methods

Useful for ML, evaluation thinking, and data-driven decision-making.