Hansel Lee

Data Scientist

https://talent.gravityer.com/hansel-lee

CS @ UW

Member since June 27, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, across multiple personal projects.
Experience with Jupyter Notebooks, essential for data exploration, analysis, and model development.
Exposure to various programming paradigms (C++, C, JavaScript, TypeScript) indicates adaptability.
Projects like 'slurm-ops' and 'PolyArithmeticCircuitsRL' suggest an interest in computational and algorithmic challenges relevant to data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a broad range of interests, from low-level programming (blockchain, compilers) to scripting and web development. This diversity suggests an inquisitive and self-driven individual who is likely adaptable to various team environments and challenges. The focus on Python and Jupyter Notebooks in several projects aligns well with a Data Scientist role, indicating a foundational interest in the field. However, without professional experience or team-based project descriptions, it's difficult to fully assess collaboration or specific cultural alignment.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

lean-hackathon-2026

May 9, 2026 – Present

lean-hackathon-2026 — GitHub repository

View Project

slurm-ops

February 16, 2026 – Present

slurm-ops — GitHub repository

View Project

cse493g1-adapt

May 14, 2025 – May 26, 2025

cse493g1-adapt — GitHub repository

View Project

PolyArithmeticCircuitsRL

April 16, 2025 – Present

PolyArithmeticCircuitsRL — GitHub repository

View Project

scrum-ai

August 24, 2024 – August 24, 2024

scrum-ai — GitHub repository

View Project

projectCulturalAwareness

July 20, 2024 – July 20, 2024

projectCulturalAwareness — GitHub repository

View Project

zipper

May 9, 2024 – May 9, 2024

zipper — GitHub repository

View Project

teutsch-technical

October 14, 2023 – October 14, 2023

teutsch-technical — GitHub repository

View Project

pyjac

August 2, 2021 – September 1, 2023

A statically typed, compiled language with influence from Python, JavaScript, and C

View Project

blocky

June 29, 2021 – July 7, 2021

Basic blockchain written in C

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, across multiple personal projects.
Experience with Jupyter Notebooks, essential for data exploration, analysis, and model development.
Exposure to various programming paradigms (C++, C, JavaScript, TypeScript) indicates adaptability.
Projects like 'slurm-ops' and 'PolyArithmeticCircuitsRL' suggest an interest in computational and algorithmic challenges relevant to data science.

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.

Hansel Lee

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit