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Assessing your cultural and operational fit
data-umbrella
Data Scientist
June 23, 2026 – Present
bayarea-2019-scikit-sprint
June 14, 2019 – December 10, 2019
Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)
View Projectmobile-deep-learning-classifier
November 6, 2018 – December 8, 2022
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
View Projectweb-deep-learning-classifier
November 3, 2018 – May 1, 2023
Deep Learning model to classify food (Web App)
View ProjectDISCOVER-Cookbook
November 30, 2017 – Present
The NumFOCUS DISCOVER Cookbook (Diverse & Inclusive Spaces and Conferences: Overall Vision and Essential Resources). A guide for organizing more diverse and inclusive events and conferences, produced by the NumFOCUS Diversity & Inclusion in Scientific Computing (DISC) Program, with support from the Moore Foundation.
View Projectalgorithm-ethics
November 30, 2017 – November 15, 2021
A collection of resources and tools designed to provide guidelines for ethical modeling.
View Projectgetting-started-with-open-source
November 29, 2017 – April 7, 2023
Getting Started with Open Source
View Projectfastai_deeplearn_part1
November 5, 2017 – March 7, 2025
Notes for Fastai Deep Learning Course
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, deep learning, and open-source contributions, which aligns well with a collaborative and innovation-driven culture. The 'DISCOVER-Cookbook' and 'algorithm-ethics' projects also indicate an awareness and commitment to diversity, inclusion, and ethical considerations in technology. However, the single listed professional experience as 'Data Scientist' at 'data-umbrella' starting in the future (2026) and marked as current is unusual and lacks detail, making it difficult to fully assess professional cultural fit.
Soft Skills & Operational Fit
The candidate's project history suggests an interest in learning and contributing to open-source communities. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.