Seal Bell

Data Scientist

https://talent.gravityer.com/seal-bell

Do what you want to do; that is what life is all about.

Member since June 29, 2026

Key Strengths

Demonstrated proficiency in Python for data science and machine learning projects, specifically YOLOv5 for object detection.
Experience with database integration (MySQL) and GUI development (PyQt5) for data interaction.
Familiarity with containerization using Dockerfile, indicating understanding of deployment practices.
Exposure to various tools like Jupyter Notebook for data exploration and analysis.
Personal projects showcase initiative and practical application of learned skills.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a proactive learning attitude and a willingness to explore diverse technical areas, from AI/ML to web development and automation. This indicates a potential for adaptability and self-driven growth, which can contribute positively to a dynamic team culture. The variety of projects suggests curiosity and a broad interest in technology.

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

GraphrRAG-Demo

September 22, 2025 – September 22, 2025

GraphrRAG-Demo — GitHub repository

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sealbell.github.io

November 3, 2024 – Present

sealbell.github.io — GitHub repository

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GenshinRelicTool

October 24, 2024 – October 27, 2024

GenshinRelicTool 是一个基于 Python 的开源工具,旨在帮助玩家自动化管理《原神》中的圣遗物。该工具通过模拟用户操作(如鼠标点击)来识别圣遗物并根据自定义规则进行解锁或锁定,帮助玩家减少重复性操作,更多地享受游戏内容。

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TianJi_player

October 6, 2024 – October 6, 2024

TianJi_player — GitHub repository

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LicensePlateAI

October 6, 2024 – October 6, 2024

LicensePlateAI — GitHub repository

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YoloVisionSystem

October 6, 2024 – October 6, 2024

A real-time object detection system utilizing YOLOv5 to detect fire, cars, electric scooters, and people from videos, live camera feeds, and images. The system integrates MySQL for database management and uses PyQt5 for frontend and backend data interaction. 一个利用YOLOv5实现的实时目标检测系统,支持从视频、摄像头实时影像和图片中检测火、汽车、电动车和人。系统集成了MySQL数据库管理,并使用PyQt5进行前后端数据交互。

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Python-basis

June 15, 2024 – June 15, 2024

欢迎来到我的学习笔记仓库!这个仓库记录了我在Python学习过程中的点点滴滴。代码示例、项目实践,都将在这里汇集。我希望这些笔记不仅能帮助我自己复习和巩固知识,也能为其他正在学习编程的朋友们提供一些参考和帮助。

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perceptofeed

May 19, 2024 – May 23, 2024

perceptofeed

View Project

Key Strengths

Demonstrated proficiency in Python for data science and machine learning projects, specifically YOLOv5 for object detection.
Experience with database integration (MySQL) and GUI development (PyQt5) for data interaction.
Familiarity with containerization using Dockerfile, indicating understanding of deployment practices.
Exposure to various tools like Jupyter Notebook for data exploration and analysis.
Personal projects showcase initiative and practical application of learned skills.

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.

Seal Bell

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit