Hey!👋 My name is

Cyrus Navasca

I'm a Data Scientist based in the Bay Area currently developing data-driven solutions powered by Machine Learning and Agentic AI.

Whether you want to build or just chat, feel free to reach out on my contact page below. Talk to you all soon! 🫶

Download Resume
Cyrus Navasca
Wild Pokémon bothering me on my walk 😞
Teaching Python at DS Collab
Teaching some poor souls about Python
Milk challenge
"I love taking on new challenges!" (I took on a gallon of milk once... and lost)

Projects

Acuity.ai ED Risk Assessment dashboard

Acuity.ai

  • Developed an AI clinical assistant which helps assess a patient's risk of readmission to the Emergency Department.
  • Leveraged regex-based NLP to parse medical documents and ensemble modeling generate accurate predictions.
  • Architected a RAG pipeline to surface relevant medical knowledge for chatbot responses
  • Deployed using FastAPI to manage patient data, predictions and chatbot states
GitHub
Diabetic retinopathy detection model predictions

Detecting Diabetic Retinopathy w/ Computer Vision

  • Architected an end-to-end deep learning pipeline using PyTorch to detect diabetic retinopathy from retinal images.
  • Streamlined data management by utilizing AWS to store over 3,000 retinal scans.
GitHub
Data 4 Dummies workshop

Data 4 Dummies

  • Formulated a beginner-friendly data science workshop series covering topics from basic Python programming to machine learning.
  • Led over 350 members through coding worksheets using sample datasets and presentation slides to facilitate learning.
Visit

Skills

Programming Languages

Python
Python
SQL
SQL
R
R
Go
Golang

Libraries & Frameworks

Scikit-learn
Scikit-learn
PyTorch
PyTorch
LangChain
LangChain
FastAPI
FastAPI
FastMCP
FastMCP
ZenML
ZenML
MLFlow
MLFlow
NumPy
NumPy
Pandas
Pandas

Tools & Platforms

AWS
AWS
Docker
Docker
Git
Git
GitHub
GitHub
Tableau
Tableau
Excel
Excel

Experiences

Data Science Intern

June 2025 – Present

Elas

  • Engineered an AI forecasting agent to turn natural language queries to actionable insights leveraging LangChain and ensemble modeling
  • Integrated Vanna AI with PostgreSQL and AWS to enable clients to convert prompts into optimized SQL queries
  • Reduced LLM token costs by 65% and response latency by 90% for an AI data visualization agent by optimizing its data pipeline to extract essential metadata
Visit

Data Science Research Assistant

Feb 2025 – Nov 2025

META Lab

  • Developed a natural language processing workflow leveraging Sentence Transformers to generate embeddings, boosting predictive model accuracy by 58%.
  • Constructed a segmentation model by applying PCA and K-means clustering to identify "low-use" and "heavy-use" cannabis users.
  • Spearheaded statistical analysis to uncover relationships among curiosity, creativity, and intervention types using multivariate regression, mediation models, ANCOVA and A/B testing
Visit

Data Analyst Intern

Oct 2024 – May 2025

Daily Nexus

  • Implemented an end-to-end data workflow leveraging Selenium to scrape 3,000+ websites
  • Published an interactive article analyzing trends between Rate My Professors ratings and UCSB grade distributions
Visit Publication

* Runner-up for CCMA Best Interactive Graphic

Education

Campus

University of California, Santa Barbara

Santa Barbara, CA

B.S. Statistics & Data Science, Minor in Mathematics

Relevant coursework: Advanced Linear Algebra, Statistical Machine Learning, Time Series Analysis, Applied Stochastic Processes, Bayesian Data Analysis

Contact

I can be reached at cyrus.navasca54@gmail.com or through the form below.