Hello, I'm
Raymundo Mora
I'm a data scientist and builder with a background in astronomy. I take ideas from ML, NLP, and Bayesian models all the way to live production apps on the cloud. Whether it's a retrieval engine over thousands of research papers or enterprise data governance, I care about making it rigorous, useful, and shipped.
/ Astronomy Picture of the Day
A daily window into the cosmos, straight from NASA, refreshed every day.
/ Featured Projects
A selection of professional work, published apps, and experimental prototypes.
Topic modeling and sentiment analysis on song lyrics. PCA over vectorized lyrics reveals stylistic clustering across top artists, while hierarchical clustering with TF-IDF and cosine similarity measures artist-to-artist similarity.
Undergraduate thesis: a method for extracting core and tidal radii of M33 globular clusters from Large Binocular Telescope imaging, using WCS correction, PSF fitting, Richardson–Lucy deconvolution, and King-profile fitting.
/ Tech Stack
Breakdown of my technical skills, categorized by domain and proficiency
Languages
Data Science & ML
Cloud & Engineering
Astronomy & Research
/ Career
A brief overview of my career
Data Engineer
CVS Health
On the Data Governance team, own an end-to-end, event-driven pipeline that uses LLMs to flag sensitive data for review, enforcing least-privilege access and regulatory compliance, and build the self-healing reconciliation and CI/CD that keep it running reliably at scale.
M.S. Data Science
University of Virginia
Master's focused on machine learning, statistical modeling, and data engineering.
Data Specialist
American Bar Association
Built and maintained Python/VBA reporting pipelines for consistent, compliant operational insight; managed the data team's GitHub repositories and optimized reporting within the organization's database system.
Student Intern, Innovation Lab
U.S. Government Accountability Office
Developed semantic search with Sentence-Transformers (Hugging Face, PyTorch) and LDA topic-modeling / summarization pipelines, enhancing the usability of 4,000+ government reports.
Software Development Intern
Expanding Frontiers
Built machine learning and deep learning models for environmental and space-related challenges, and used Bash and R to convert public NASA mission data into operations-ready formats.
Research Assistant, Astronomy
University of Virginia
Created Python tools for data reduction, background subtraction, PSF fitting, and deconvolution; applied empirical modeling and statistical validation against HST-based studies of globular clusters.
B.A. Astronomy
University of Virginia
Senior thesis: a method for obtaining structural parameters of globular clusters in M33 using the Large Binocular Telescope.
Data Engineer
CVS Health
On the Data Governance team, own an end-to-end, event-driven pipeline that uses LLMs to flag sensitive data for review, enforcing least-privilege access and regulatory compliance, and build the self-healing reconciliation and CI/CD that keep it running reliably at scale.
M.S. Data Science
University of Virginia
Master's focused on machine learning, statistical modeling, and data engineering.
Data Specialist
American Bar Association
Built and maintained Python/VBA reporting pipelines for consistent, compliant operational insight; managed the data team's GitHub repositories and optimized reporting within the organization's database system.
Student Intern, Innovation Lab
U.S. Government Accountability Office
Developed semantic search with Sentence-Transformers (Hugging Face, PyTorch) and LDA topic-modeling / summarization pipelines, enhancing the usability of 4,000+ government reports.
Software Development Intern
Expanding Frontiers
Built machine learning and deep learning models for environmental and space-related challenges, and used Bash and R to convert public NASA mission data into operations-ready formats.
Research Assistant, Astronomy
University of Virginia
Created Python tools for data reduction, background subtraction, PSF fitting, and deconvolution; applied empirical modeling and statistical validation against HST-based studies of globular clusters.
B.A. Astronomy
University of Virginia
Senior thesis: a method for obtaining structural parameters of globular clusters in M33 using the Large Binocular Telescope.
/ Contact Me
Feel free to reach out. I'm always open to discussing new projects and opportunities.