Hi, my name is

Jayden Udall.

I'm a Computer Engineering and Statistics & Data Science student at UC Santa Barbara, passionate about using data to uncover new insights, make predictions, and solve problems. I'm always looking for new challenges and opportunities to grow my skills.

Check out some of my projects below!

Jayden Udall

01.About Me

I'm a senior at UC Santa Barbara graduating in June 2027 and pursuing Bachelor's degrees in Computer Engineering and Statistics & Data Science. I'm passionate about scalable analytics and utilizing statistical modeling techniqes to improve operational decicion-making, make predictions, and solve business problems.

Through my professional and academic journey, I've built a range of projects spanning fields like data science, business intelligence, and software/AI development. I've utilized languages like Python, R, and SQL extensively and have been exposed to cloud computing platforms like Google Cloud Platform, Microsoft Azure, and Oracle Cloud. I've always been fascinated by the language of mathematics and its role in complex data analysis, and I'm excited to grow my skills as a professional analyst and engineer.

When I'm not coding or studying, you can find me in the gym, at the Santa Barbara beaches, DJing, or on the golf course!

02.Projects

Dynamic Portfolio Allocation with Reinforcement Learning (June 2026)
Built a reinforcement learning framework from scratch to optimize dynamic portfolio allocation across SPY, TLT, and GLD using historical financial data. Designed a custom trading environment and implemented Tabular Q-Learning, Double DQN, and PPO, evaluating models through out-of-sample backtesting, validation checkpointing, and comparisons against buy-and-hold benchmarks.
NumPyPyTorchYahooFinanceMatplotlib
Target-Dependent Relevancy Classifier (Jan-May 2026)
Led a team of 6 to develop a cloud-native classiciation pipeline for Unwrap.ai to ingest and classify Reddit posts into multiple target-dependent company feedback categories using NLP embeddings and a single fine-tuned roBERTa model, achieving 95% accuracy.
PythonPyTorchHuggingFaceGoogle Cloud PlatformBigQuery
Ice Melting Experiment with ANOVA (PSTAT 122 Winter 2026)
Designed and analyzed a 2³ factorial experiment to quantify the effects of airflow, container material, and light exposure on ice melting time using ANOVA and statistical modeling.
Rdplyrggplot2
Project BALANCE (Data4Good Hackathon, Feb 2026)
Developed a data-driven site selection framework for sustainable data centers by modeling water usage efficiency from climate variables and integrating it with renewable energy and geographic data to identify optimal locations.
PythonNumPyGeoPandasMatplotlibOpen-meteo API
UCSB META Lab EEG Analysis (Jan 2025)
Developed a signal processing pipeline for UCSB's neuroscience lab to detect and quantify brain-body oscillatory coupling in EEG time series using multitaper spectral analysis and statistical peak detection.
MATLABRggplot2EEG Analysis
Meal2Macros with Neural Networks (ECE 180 Fall 2025)
Built and evaluated deep learning models to predict carbohydrate content from meal descriptions using NLP embeddings and architectures including MLPs, RNNs, and LSTMs, achieving stronger performance with optimized sequence models.
PythonPyTorchMLPsRNNsLSTMs

03.Skills

Languages

  • ▸Python
  • ▸R
  • ▸SQL
  • ▸C++
  • ▸TypeScript

Libraries

  • ▸Pandas
  • ▸NumPy
  • ▸Scikit-learn
  • ▸PyTorch
  • ▸Matplotlib
  • ▸dplyr

Web Development

  • ▸React
  • ▸Next.js
  • ▸HTML
  • ▸RESTful API
  • ▸PostgreSQL

Tools & Platforms

  • ▸Power BI
  • ▸Git
  • ▸Cursor
  • ▸Google Cloud Platform
  • ▸Google Colab
  • ▸Jupyter