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east_asian_celebs_over_50's Introduction

Kim Jeonghyun

Data Scientist / AI Engineer

Welcome to my GitHub profile! I'm Jeonghyun Kim, a data scientist and AI engineer with a passion for leveraging technology to solve complex problems. With a strong foundation in Python, machine learning, and artificial intelligence, I've worked on projects across various domains, including computer vision, natural language processing, and digital health.

  • ๐Ÿ“ซ How to reach me: Email
  • ๐Ÿ”— Connect with me on LinkedIn
  • ๐Ÿ’ป Check out my projects on GitHub

About Me

Professional Experience

Data Scientist at LumanLab

_Sept 2022 โ€“ Feb 2024

  • Spearheaded the development of CV-based screening models for pediatric developmental assessments.
  • Built and optimized data pipelines for efficient processing and analysis.

Data Scientist at INNOPOST

_2021 โ€“ 2022

  • Specialized in Korean NLP to enhance public audit processes and legal document analysis.

Founder of BoreumdalLab

2012 โ€“ 2020 (Closed)

  • Led the company as a service planner, content producer, and manager, focusing on foreign language learning apps.
  • Achieved over 1 million downloads for our Korean language learning app on Android.

Skill Sets

  • Programming Languages: Python
  • Frameworks & Libraries: Tensorflow, PyTorch, scikit-learn, FastAPI, Flask
  • Database Management: SQL, NoSQL
  • Web Development: HTML, CSS, Vanilla JS
  • Cloud & DevOps: AWS (S3, RDS, EC2), Docker
  • Tools & Platforms: WanDB, CVAT, label-studio, Roboflow, Openmmlab

Certificates

Languages

  • English: TEPS 1+
  • Japanese: JLPT N1

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Thank you for visiting my profile. I'm always open to new opportunities and collaborations. Let's connect and explore how we can create impactful solutions together.

east_asian_celebs_over_50's People

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east_asian_celebs_over_50's Issues

Fewer Females, Fewer Seniors Issue

I made the celeb lists all by myself mainly just writing down names coming out of my heads.
And then searched on google to add more people by finding related persons who are also over 50.
There are problems in this mothod because the list has a tendency of containing more men and more younger(50s) people.
I would like to improve my list to be more balanced.
What could I do?

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