Clarity wins
If I can’t explain it simply, it isn’t finished. I optimize for readable code and maintainable structure.
CS + ITWS @ RPI • Software • Systems • Analytics
Software + systems thinking • backed by data
I’m a dual major in Computer Science and Information Technology & Web Science at RPI. I’m interested in software engineering, systems engineering, and data analytics — building solutions that are structured, testable, and easy to understand.
D’Andre Collins
CS + ITWS • RPI
Strengthening fundamentals in data structures, linear algebra, and web development while building a portfolio I can explain clearly and confidently.
Reliability, clarity, and measurable results. I like code that makes sense to humans and still holds up under constraints.
The rules I try to follow when I build anything technical.
If I can’t explain it simply, it isn’t finished. I optimize for readable code and maintainable structure.
I don’t guess-and-check. I isolate variables, test assumptions, and follow evidence until the root cause makes sense.
Data helps expose reality. I like metrics, tests, and clear definitions that keep systems honest.
Selected work I’ve completed and can walk through clearly.
Parsed and analyzed documents to calculate word sophistication, word-pair counts, and language variety. Implemented Jaccard similarity to compare style and content similarity using sets and file handling.
Built an autocorrect system using Python dictionaries to handle insertions, deletions, swaps, and replacements. Processed JSON movie and Twitter ratings to compute weighted combined ratings for year and genre analysis.
Founder-style personal site built for ITWS-1100 using semantic HTML and shared CSS. Includes AI-assisted iteration history (prompt → output) with versioned commits.
Best way to reach me: email. I respond fastest with clear context + what you need.
Email: collid7@rpi.edu
I’m open to: internships, campus opportunities, mentorship, and project collaborations.
Version 1.0 — many iterations ahead.