Summary
Maritza Vasquez is a Senior Machine Learning Scientist and astrophysicist with nearly a decade of experience building Python-based ML pipelines for both scientific discovery and commercial applications in finance, retail, real estate, and marketing. She combines a strong publication record (30+ papers) and widely used open-source tools (four Python repositories cited 20+ times) with hands-on production experience reducing data-processing time by over 50% for large mission datasets. Her work spans developing convolutional neural network training sets from millions of light curves, improving stellar-characterisation pipelines like SPECIES, and deploying explainable analytics and process-mining solutions for enterprise stakeholders. At Legal & General she translated complex analyses into operational improvements and interactive Plotly Dash apps, while at Markerstudy she now applies ML to real-world business problems. She is skilled at leading multi-disciplinary teams, mentoring colleagues and communicating science to non-technical audiences via TV and press appearances. Notably, she bridges cutting-edge exoplanet detection techniques with practical, scalable ML systems used outside academia.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universidad de Chile
English, Spanish