RJ Newton

Software Dev / Data Scientist / Web Dev

RJ
Newton.

Full-stack developer and data scientist. I build systems that process information at scale and interfaces that make complexity readable.

4+

Years experience

7

Languages (Python, R, HTML, JavaScript, CSS, SQL, TypeScript)

2

Research Domains

DEV
Projects:

01

Fashion Market
Intelligence Platform

Flask Python JavaScript Supabase PostgreSQL Librosa

Relational database platform tracking hundreds of brands, 1,600+ collections, and hundreds of aesthetic tags across a multitude of interconnected tables. Features Google Trends integration and style-matching methodology rooted in consumer psychology.

02

Dolphin UMAP
Classifier

Python UMAP Librosa Scikit-learn

Acoustic embedding pipeline for dolphin vocalizations. Adapted from meerkat vocalization research with original RI/ARI metrics, modular flat scripts, and bandpass filtering retuned to 300–3000 Hz.

03

Dolphin Whistle
CNN Detector

Python TensorFlow Librosa Raven Pro

CNN-based whistle detection model integrating Raven Pro selection tables and the SEANOE public dataset. Achieves strong early detection results on held-out dolphin vocalization recordings.

04

Blind Box SEM
Replication Study

R SEM Psychology Statistics

Structural equation model replication of Zhang & Zhang's blind box consumer behavior paper (Frontiers in Psychology), omitting the functional value variable to test model robustness.

05

RJ Newton
Creative Portfolio

HTML CSS JavaScript GSAP

Hand-coded editorial portfolio site for modeling, creative direction, and styling work. Features cinematic background compositing, GSAP parallax, and individual campaign pages.

06

RJ Newton
Dev Portfolio

HTML CSS JavaScript GitHub Pages

This site. Hand-coded editorial portfolio inspired by fashion magazine design systems — Balenciaga campaign typography, Marni spread grid structure, and Mingyu magazine banner treatment.

Capabilities

Languages

  • Python
  • R
  • JavaScript
  • TypeScript
  • SQL
  • HTML / CSS

Frontend

  • React / Next.js
  • D3.js
  • CSS / Tailwind
  • Framer Motion
  • Three.js

Data / ML

  • PyTorch / TensorFlow
  • scikit-learn
  • Pandas / NumPy
  • UMAP / K-Means
  • Signal Processing
  • Google Analytics

Infrastructure

  • RESTful APIs
  • PostgreSQL / Supabase
  • Git / Linux
  • Docker
  • Flask
About me.

I work at the intersection of data engineering, machine learning, and frontend design. I'm interested in systems that handle real complexity — not just technically, but in terms of what they reveal to the people using them.

Having studied cognitive psychology with an emphasis on data analytics at UC San Diego while building in the data and ML space, I think the most interesting problems sit between disciplines: where behavioral science meets data, where visual design meets systems architecture.

2025 - Present

Fashion Market Intelligence Platform

Independent software development

2025 - Present

Data Science Research

UC San Diego — cognitive bioacoustics lab

2025 - 2026

Lead Quantitative Data Analyst

UC San Diego — Research Committee

2024 - Present

Full-Stack Developer

Freelance

2024 - 2026

B.S. — Cognitive Psychology

University of California San Diego

Get in touch.

Open to full-time roles, contract work, and research collaborations. I typically respond within 24 hours.