MathLABS
400+ visual discrete-math items, MongoDB + Hugging Face pipeline, hybrid evaluator with Gemini and OpenRouter—nine VLMs on math MCQs.
Portfolio
Models, experiments, and systems built on real data.
M.S. Data Science student at NYU. I work at the intersection of statistics, machine learning, and engineering—benchmarks, inference, and full-stack tools.
Graduate
NYU · Data Science
Expected
May 2027
Undergraduate
John Jay · CS & Security
About
Brooklyn-based · curious about small data & big models
I am an M.S. Data Science student at New York University (expected May 2027) with a B.S. in Computer Science & Information Security and a mathematics minor from John Jay College (CUNY), May 2025.
Recent work includes a multimodal benchmark (MathLABS), large-scale survey analytics (RateMyProfessor), and full-stack apps with Streamlit and Django. Outside the terminal: volleyball, pickleball, and trails.
Stack
Tools I reach for
Ordered for how I actually build: from raw tables to deployed interfaces.
Python · pandas · scikit-learn
Stats · hypothesis tests · regression
ML · classification · evaluation
SQL · MySQL · SQLite
MongoDB · JSON pipelines
APIs · REST · model routers
Streamlit · quick UIs
Django · web backends
C++ · structures & algorithms
Git · Linux · VS Code
Projects
Selected work
Research-style benchmarks, applied statistics, and shipping products. Each card links out to code, a live app, or a written report.
RateMyProfessor Analytics
Welch’s t-tests on gender vs. difficulty, logistic regression on “hotness” (AUROC 0.80), 26+ feature drivers.
PlantID Care Companion
Species ID from photos, fuzzy-matched care guides, character-driven plant chat.
NLP · Phishing & spam
Content-level classification beyond brittle keyword rules.
BMCConnect
Search, live support, and analytics for ~1,500 CIS students.
Emotionfy
Facial emotion cues mapped to playlist recommendations.
Coursework & lab archive → — cryptography write-ups, Qt project, bookstore demo, chatbot repo.
Path
Education & experience
Education
M.S. Data Science · NYU
New York, NY · expected May 2027
Coursework: intro DS, optimization & linear algebra, learning from small data, ML, big data, advanced Python.
B.S. CS & Information Security · John Jay (CUNY)
Minor in Mathematics · May 2025
OOP (C++), data structures & algorithms, probability & statistics.
Experience & programs
College Assistant · BMCC
Sep 2023 – Dec 2023
CS 101 lectures and tutoring for 20 students.
Technology Learning Community Intern · BMCC
May 2023 – Jul 2023
Curriculum search, chat, and dashboards for CIS students.
CodePath · Apprenticeship
Jun 2025 – Aug 2025
Web dev & technical interview prep tracks.
CUNY Tech Prep · Data Science Fellow
Jul 2024 – May 2025
EDA through ML with Python, Jupyter, pandas, TensorFlow, scikit-learn.
Contact
Let’s talk data
Email, GitHub, or LinkedIn—best for collaborations, internships, or swapping project ideas.