Yeo Myung SHIN (Lynn)

Research engineer

@ Soynet Co., Ltd.

ym4766@gmail.com

πŸ‡­πŸ‡° πŸ‡°πŸ‡· πŸ‡ΊπŸ‡Έ

πŸ’Ό linkedin | πŸ™ github | πŸŽ–οΈ kaggle | 🏑 blog

πŸ“„ CV_En | πŸ“„ CV_Kr

A fresh graduate with experience in AI research & solution development by working as a researcher in an AI tech company. Contributed to research and build AI models for projects in various backgrounds including Vision, Segmentation, GAN, Detection, Face Recognition, and Data Analysis. Completed the first project in charge of integrating communication and analytical skills. A fast learner quickly adapts to new IT trends and models. Currently interested in text-to-image generation sector such as Dall-e and data analytics, but open to any subjects. Expect to contribute to developing a new AI & Big Data adapted service and develop, customize AI models.

Interests

  • Machine Learning/Deep Learning

  • Computer Vision and Image Processing

  • Metric learning (image retrieval)

  • Text-to-image generation

  • Data Analysis

Educations

  • The Hong Kong Polytechnic University (Hong Kong, 2015.09 – 2020.09)

    • BSc(Hons) in Enterprise Information Systems

    • First place in PolyU Proof-of-Concept (POC) Cash Award 2017 (2017.06)

  • Big Piney High School (United States, 2013.08 – 2015.05)

Work Experience

  • Researcher at SOYNET Co., Ltd.,

    • Seoul, KR 2020.12 – Now

  • Industrial Placement in Cybersecurity team at HSBC Hong Kong,

    • Hong Kong 2018.07 – 2019.07

Skills / Certificates

  • Programming Languages: Python - Java - C,C++ - JavaScript - PHP - R

  • Tools and Frameworks: TensorFlow - Keras - PyTorch - Numpy - Pandas - ScikitLearn

  • OS, Version Control and Issue Tracking: Linux - Git - Docker

  • Web Programming: HTML - CSS - Flask - FastAPI


  • SQL Developer (SQLD) Issued by Korea Data Agency (2020.10)

  • TensorFlow Developer Certicicate Issued by Google (2020.12)

Projects

  • Effective transaction fraud detection with ML and DL models including LGBM, XGBoost, DNN, AutoKeras

    • obtained AUC 94%

  • Credit Card Approval Prediction EDA and modeling

  • SK employee mobile application data sentiment analysis

  • Sketch to Image with GAN (Pix2Pix)

  • Public facilities status detection and prediction (Korea government AI task)

  • Face Recognition and Mask Detection

  • Classification of the short-circuit marks caused by electric fires

  • Crop growth information prediction model including measure of crop's height, width, and leaf counting