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.
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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 Scientist

Jan 2026 – Present

Elas

Engineered anomaly detection, lead generation and time-series forecasting pipelines leveraging tools in ML & AI.

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Data Science Intern

June 2025 – Dec 2025

Elas

Developed AI Agents, MCP Servers and conducted time-series analysis to drive data-driven decision making for clients.

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Data Science Research Assistant

Feb 2025 – Dec 2025

META Lab

Applied NLP and unsupervised learning methods to identify human relationships with curiosity and creativity.

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Data Analytics Intern

Oct 2024 – May 2025

Daily Nexus

Published a data-driven web article analyzing trends between Rate My Professors ratings and university grade distributions, featuring interactive visualizations that drove dynamic exploration for 30,000+ readers.

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* 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.