Brian Bargh

Data Scientist

https://talent.gravityer.com/brian-bargh

Math and Machine Learning nerd

SeattleMember since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'siamese', 'TensorFlow', 'pytorch_focal_loss', and 'cifar'.
Proficiency in Python, indicated by its use across almost all personal projects.
Experience with Jupyter Notebook for data exploration and model development.
Exposure to various aspects of data science, including image classification (cifar) and natural language processing (got).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-directed learning and exploration in data science. The diversity of project topics (deep learning, NLP, utility scripts) suggests adaptability and a broad interest within the field. However, without team-based projects or work experience, assessing collaboration and cultural alignment is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

SchemaFuse

March 7, 2024 – March 8, 2024

A repo to help with training models on data labeled with multiple versions of a schema

View Project

pytorch_focal_loss

May 31, 2020 – May 31, 2020

pytorch_focal_loss — GitHub repository

View Project

PracticeProblems

May 24, 2016 – May 24, 2016

PracticeProblems — GitHub repository

View Project

got

May 6, 2016 – May 7, 2016

Playing with Game of Thrones Text Data

View Project

truemotion_project

April 7, 2016 – April 7, 2016

Interview Problem for TrueMotion

View Project

siamese

April 5, 2016 – December 12, 2018

siamese — GitHub repository

View Project

python_template

March 10, 2016 – August 25, 2016

A simple project template for python 2.7 with relative imports and different settings for dev/beta/gamma/prod.

View Project

cifar

January 15, 2016 – January 17, 2016

Playing with Googles image classification CNN

View Project

TensorFlow

November 10, 2015 – December 6, 2015

TensorFlow — GitHub repository

View Project

pairProgramming

October 23, 2015 – February 11, 2016

Assign partners so that everyone gets to work with everyone!

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'siamese', 'TensorFlow', 'pytorch_focal_loss', and 'cifar'.
Proficiency in Python, indicated by its use across almost all personal projects.
Experience with Jupyter Notebook for data exploration and model development.
Exposure to various aspects of data science, including image classification (cifar) and natural language processing (got).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Brian Bargh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit