Available to hire
I am a computer scientist and data scientist with graduate training in data science and applied AI across cloud architecture (Microsoft), AI-forward data engineering (Glean), and applied research (Northeastern Applied AI Lab).
Currently I am shipping data science work at Shipt, partnering with product, operations, and engineering to translate business questions into analyses, metrics, and models. I focus on building reliable data pipelines, conducting analytical modeling, and delivering interpretable outputs, all while communicating methods, assumptions, and limitations clearly to non-technical stakeholders.
Language
English
Fluent
Spanish; Castilian
Fluent
Work Experience
Data Scientist at Shipt
July 1, 2024 - PresentPartner with product, operations, and engineering to translate business questions into analyses, metrics, and models; contribute to reporting, dashboards, and experimentation workflows; communicate methods, assumptions, and limitations clearly; align analytical work with business priorities and delivery timelines.
AI & Data Engineering Intern at Glean
September 1, 2023 - May 1, 2024Supported data engineering and integration for AI-powered enterprise search; worked on data ingestion, transformation, and quality to ensure dependable inputs for downstream retrieval and ML features. Scoped tasks, iterated on designs, and delivered production-minded work in a fast-moving startup environment.
Cloud Solution Architect Intern at Microsoft
June 1, 2023 - August 1, 2023Participated in solution architecture activities across Microsoft cloud services—discovery, design discussions, and technical documentation with customer-facing teams. Built familiarity with cloud-native patterns for scale, security, identity, and cost optimization. Contributed to proofs of concept and narrative materials to help stakeholders compare options.
Graduate Research Assistant at Northeastern Applied AI Lab
September 1, 2022 - May 1, 2023Supported applied AI research including experimental setup, codebase maintenance, and results analysis. Built reproducible workflows for data preparation, model training, and evaluation; coordinated tasks across tools and datasets to keep milestones traceable and auditable.
Education
M.S. in Data Science at Northeastern University
September 1, 2022 - May 1, 2024B.S. in Computer Science at Northeastern University
September 1, 2018 - May 1, 2022Qualifications
Industry Experience
Computers & Electronics, Software & Internet, Education, Professional Services
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