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Assessing your cultural and operational fit
Data Scientist | AI - Machine Learning and MLOps, Data Visualization, Data Analysis
From cognitive science to data science. I started out studying how people think and learn — now I apply that same curiosity and analytical mindset to data. As a data scientist, I build end-to-end solutions using Python, cloud tools, SQL, and machine learning. I enjoy creating clean pipelines and ML workflows, clear visualizations, and insights that actually drive decisions. I'm also a big believer in clear communication and collaborative spirit. Whether it's explaining a model to a non-technical stakeholder or running a hands-on workshop, I aim to make complex ideas click. My tech toolbox includes Python, SQL, Tableau, cloud platforms, and a growing collection of certifications. If you're looking for someone who can bridge the gap between technical depth and human understanding, let's chat.
Santa Clara University
Master’s Degree, Computer Science and Engineering
January 1, 2015 – January 1, 2017
University of California, Berkeley
Bachelor's degree, Cell/Cellular and Molecular Biology - Neurobiology; Cognitive Science
January 1, 2010 – January 1, 2014
Accenture Federal Services
Data Scientist
September 1, 2022 – November 1, 2023
TEKsystems
Software Developer
December 1, 2021 – August 1, 2022
Sunnyvale, California, United States
General Dynamics Information Technology
Data Science Engineer
August 1, 2020 – January 1, 2021
Monterey, California, United States
Pluto7
Machine Learning Consultant
March 1, 2018 – June 1, 2020
Pluto7
Machine Learning Consultant at Pluto7 at Google
November 1, 2017 – March 1, 2018
ComptechS
Intern
March 1, 2015 – August 1, 2015
Walker Lab
Research Assistant
September 1, 2014 – December 1, 2014
Klein Lab
Research Assistant
January 1, 2013 – December 1, 2013
Berkeley, CA
Google Cloud Certified Professional Cloud Architect
June 24, 2026 – Present
Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Azure Data Science Associate
Microsoft
June 24, 2026 – Present
Data Engineering on Google Cloud Platform
Coursera
June 24, 2026 – Present
AWS Certified Machine Learning
Amazon Web Services (AWS)
June 24, 2026 – Present
Google Cloud Certified Professional - Data Engineer
June 24, 2026 – Present
Data Analyst Nanodegree
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, starting with a strong foundation in biological sciences before transitioning to computer science and machine learning. Their experience spans consulting, federal services, and software development, indicating adaptability to different organizational cultures and project types. The numerous cloud certifications suggest a proactive approach to learning and staying current with industry trends, which is a positive indicator for cultural fit in a dynamic tech environment. The breadth of tools and platforms used also points to a willingness to engage with various technologies.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, written communication, and attention to detail across multiple roles. The descriptions indicate an ability to work on complex technical projects and iterate on solutions, suggesting a good operational fit for roles requiring continuous improvement and analytical thinking. However, without specific assessment data on collaboration or leadership, a full evaluation of soft skills is limited.