README

English | 한국어

Hello! I'm Incheol Shin 👋

"A Machine Learning Engineer who tries a hundred times for one perfect result"

🚀 About Me

Currently working as a Senior Research Engineer (ML Engineer) at EcoHabit, passionate about creating practical business value through machine learning and data analysis.

• 🔭 Currently working on "Makneya" project - an inventory management and sales forecasting app for small business owners
• 🌱 Continuously learning machine learning algorithms and data engineering technologies
• 🤖 Exploring AI-powered development tools like Claude Code, Gemini, and Cursor for enhanced productivity
• 💡 Conducted research on Crumple Algorithm for image data augmentation
• 📍 Based in Si-heung, Gyeonggi-do, South Korea

💼 Work Experience

Ecohabit - Senior Research Engineer (ML Engineer) (Jul 2024 ~ Present)

• Advanced ML research and development
• Leading machine learning initiatives for sustainable solutions

12CM - Manager (Jun 2022 ~ Jun 2024)

• ML Engineering and data analysis responsibilities
• Building and managing SQL and ETL pipelines

Sundo Soft - Employee (Jan 2022 ~ May 2022)

• Python-based software development

Medical Standard Co., Ltd. - Technical Department Employee (Dec 2020 ~ May 2021)

• PACS (Picture Archiving and Communication System) development
• Medical software development and maintenance

🛠️ Tech Stack

Programming Languages

Machine Learning & Data

Medical Technology

Tools & Management

🏆 Achievements & Competitions

🥇 Competition Results

• LG U+ Kids Land Recommendation Competition - 40th/658 teams (Nov 2022)

  • Used Neural Matrix Factorization model (Team Leader)

• AI-based Small Bowel Capsule Endoscopy Lesion Detection Competition - 19th/250 teams (Dec 2021)

  • Developed solution using object detection models (Team Leader)

📜 Certifications

• KAIST Introduction to Artificial Intelligence and Machine Learning (Feb 2022)
  • Score: 87/100
  • Department of Industrial and Systems Engineering

🔬 Research & Projects

📱 Makneya (May 2023 ~ Present)

Inventory management and sales forecasting app for small business owners

• Developed machine learning-based sales prediction models
• Implemented inventory optimization algorithms
• Tech Stack: Python, SQL, Project Management, and more

📊 Crumple Algorithm for Image Data Augmentation

Research on novel algorithm for image data augmentation

• Innovative approach to solving data scarcity problems
• Published research paper and ongoing development

🏥 Smart Mirror Health Check Platform - Smartooth (Graduation Project)

Smart mirror-based health monitoring system for vulnerable populations

• Integration of IoT and healthcare technologies
• User-friendly interface design

🎓 Education

Sahmyook Health University - Department of Medical Information

• Graduation Project: Smart Mirror Health Check Platform for Vulnerable Populations (Smartooth)
• Activities: Student Council, Soccer Club (ExC), Volunteer Club (G.G), Cultural Activities Club (Classic)

📊 GitHub Stats

🌟 Philosophy

"A Machine Learning Engineer who tries a hundred times for one perfect result"

I believe in continuous challenges and learning to create better solutions. I'm not afraid of failure, and I find lessons in each attempt to achieve near-perfect results. This is my development philosophy.

🎯 Current Focus

• 🌱 Sustainable technology solutions through ML at EcoHabit
• 🤖 Advanced Machine Learning research and development
• 📊 Data Engineering and ETL optimization
• 🏥 Healthcare technology applications
• 📱 Mobile app development for business solutions

📫 Contact

• LinkedIn: Incheol Shin
• Email: [snc4656@naver.com]
• Location: Si-heung, Gyeonggi-do, South Korea

🌐 Languages

• 🇰🇷 Korean (Native)
• 🇺🇸 English (Reading Proficiency)

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⭐️ From Incheol Shin