Huang, Hong-Chang

Data Scientist

https://talent.gravityer.com/huang-hong-chang

Computer and Information Engineering senior at NCU. Passionate about coding and AI/ML.

National Central University

Key Strengths

Demonstrated interest in data science and machine learning through personal projects (e.g., generals-io-glhf, pareto-optimal-recourse, burn-the-stock, melops).
Proficiency in Python, a core language for data science, as evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to Rust for performance-critical applications and neural network backends, indicating a versatile technical aptitude.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong self-driven learning and exploration mindset. The diversity of projects, including a stock trading bot and audio captioning tools, suggests an innovative and curious individual. However, the lack of team-based or collaborative projects makes it difficult to fully assess cultural fit in a professional team environment. The single listed professional experience as 'Data Scientist' at National Central University is current but lacks detail regarding responsibilities or achievements, limiting insight into professional cultural alignment.

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

burn-the-stock

June 25, 2026 – Present

Taiwan stock trading bot in Rust with a Burn neural network backend

View Project

sioc-rs

May 4, 2026 – Present

A type-safe, async Socket.IO client for Rust.

View Project

ncku-arch-2025-subs

January 20, 2026 – Present

Auto-generated subtitles for NCKU Computer Architecture course videos (Fall 2025)

View Project

melops

January 9, 2026 – Present

CLI tool for audio captioning and speech-to-text with NVIDIA Parakeet

View Project

ncku-srecruit-2025-case-gen

November 15, 2025 – November 15, 2025

ncku-srecruit-2025-case-gen — GitHub repository

View Project

rentmap

May 31, 2025 – August 13, 2025

rentmap — GitHub repository

View Project

torch-test-xpu

October 29, 2024 – December 14, 2024

Template for starting PyTorch projects with Intel GPUs (XPU) on Windows.

View Project

sugar-cli

September 8, 2024 – November 3, 2024

Create CLIs leveraging syntactic sugar.

View Project

generals-io-glhf

March 16, 2024 – October 2, 2024

Good luck, have fun! A generals.io bot framework.

View Project

pareto-optimal-recourse

January 27, 2024 – September 12, 2024

pareto-optimal-recourse — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects (e.g., generals-io-glhf, pareto-optimal-recourse, burn-the-stock, melops).
Proficiency in Python, a core language for data science, as evidenced by multiple projects.
Experience with Jupyter Notebooks, a common tool for data exploration and model development.
Exposure to Rust for performance-critical applications and neural network backends, indicating a versatile technical aptitude.

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.

Huang, Hong-Chang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit