Sam Ehrenstein

Data Scientist

https://talent.gravityer.com/sam-ehrenstein

Machine learning, mainly.

Member since June 25, 2026

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'ColonHoleDetect' and 'eye_track_hack'.
Proficiency in Python, a core language for Data Scientists, evidenced by multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to C++ and Cuda, indicating potential for performance-critical data science tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, self-driven initiatives, which can indicate proactivity and a passion for learning. The diversity of projects, from navigation apps to medical image analysis, suggests a broad curiosity. However, without team-based project experience or work history, assessing collaboration and cultural alignment with a team environment is challenging.

Soft Skills & Operational Fit

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

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Projects

shape-viewer

December 17, 2024 – Present

Viewer for parametric shapes and their geometric properties.

View Project

fractals-redux

May 10, 2023 – May 13, 2024

More fractal generators, 8 years later

View Project

SPFN

April 26, 2023 – April 28, 2023

SPFN — GitHub repository

View Project

eye_track_hack

October 23, 2021 – October 24, 2021

Measuring the dilation of pupils to warn drivers when they are too sleepy to drive!

View Project

ohw20-proj-marine-heat-waves

August 11, 2020 – May 20, 2021

project code for marine heat waves

View Project

ColonHoleDetect

June 25, 2020 – October 25, 2021

Ongoing project. Detecting blind spots on colonoscopic surfaces.

View Project

mp-sim

April 8, 2018 – March 21, 2019

Robot motion profile simulator

View Project

WolfBytes

January 14, 2018 – February 1, 2019

Scratch repo for Wolf Bytes team.

View Project

Blair-Walks

October 4, 2015 – September 12, 2016

navigation app for MBHS

View Project

graphics-stuff

January 30, 2015 – January 31, 2015

Java graphics stuff

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'ColonHoleDetect' and 'eye_track_hack'.
Proficiency in Python, a core language for Data Scientists, evidenced by multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to C++ and Cuda, indicating potential for performance-critical data science tasks.

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 provided.

Sam Ehrenstein

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit