• Related Courses
Big Data Analysis, Machine Learning (ML), Artificial Intelligence (AI), Data Visualization, Modeling and Simulation
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Yeonbi Han
Korean Medicine Doctor
Data Scientist
Data Analyst
Yeonbi Han
Korean Medicine Doctor
Data Scientist
Data Analyst
Hello, I’m
Yeonbi Han
Data Scientist
MD, Korean Medicine
Doctor of Korean Medicine and Data Scientist
As a data-driven healthcare professional, I leverage my background as a medical doctor and my expertise in data science to tackle healthcare challenges. My passion lies in extracting actionable insights from pharmaceutical and healthcare data to drive evidence-based decision-making, improving patient outcomes and operational efficiencies.
20+
Completed
Projects
3
Years
of Experience
2
Healthcare professional Licenses
What Can I Offer ?
Data Analysis
Analyzed large-scale clinical trial data using Python (Scikit-learn, TensorFlow, PyTorch) and R, extracting patterns through machine learning algorithms to improve the efficiency of healthcare systems. Additionally, utilized SQL for database management, performing complex queries to retrieve and manipulate structured data for more effective analysis and decision-making.
Machine Learning & Artificial Intelligence
Developed predictive models for healthcare data using linear regression, logistic regression, support vector machines (SVM), k-nearest neighbors (kNN), decision trees, and ensemble methods. Additionally, worked on Natural Language Processing (NLP) tasks utilizing RNN and CNN models, contributing to improved patient outcome predictions and research advancements.
Utilized key Python libraries such as TensorFlow, PyTorch, and Scikit-learn for building machine learning models, and employed NumPy and Pandas for data processing.
Data Visualization
Utilized Python's Matplotlib, Seaborn, along with Tableau, Canva, and Flourish to visualize complex medical data, delivering effective visual insights to clinical scientists and clinical research physicians for better understanding.
Mathematical skills
Utilized a strong mathematical foundation to analyze large-scale clinical data, applying advanced techniques from probability and statistics, geometry and vectors, linear algebra, calculus III, and discrete mathematics. These mathematical methods were crucial in extracting key insights and improving the interpretation of complex medical data, contributing to more accurate predictions and enhanced decision-making in healthcare research and systems.
Work Experience & Education
Feb 2025
National Institute for Lifelong Education (NILE), Seoul, Republic of Korea
Bachelor of Engineering in Artificial Intelligence
• Related Courses
Database, Algorithms, Data Structure, Python/C Programming, AI, ML, Deep Learning and Natural Language Processing (NLP)
Aug 2023
National Institute for Lifelong Education (NILE), Seoul, Republic of Korea
Bachelor of Engineering in Computer Engineering
Feb 2020
Daegu Haany University, Daegu, Republic of Korea
Bachelor of Medicine in Korean Medicine
6 years Professional Studies: Pre-med 2 years and Med 4 years
2023
Diploma of Acupuncture
NCCAOM
2023
Licensed Acupuncturist
New York
2020
Licensed Korean Medicine Doctor
Korea Minister of Health and Welfare
Explore Portfolio
Machine Learning and Data Analysis Project
🖥️ Web Server Log Analysis Using Apache Spark
ML and Data Analysis
Entity Resolution of Google-Amazon Products using PySpark
ML and Data Analysis
🔢 Cryptarithmetic Puzzle Solver
AI Game
8-Puzzle Solver
AI Game
2048 Puzzle AI Player
AI Game
Movie Recommendation System Using Spark ALS
ML and Data Analysis
CRISPR Edit Efficiency Prediction for ML Prime Editing
ML and Data Analysis
Wine Quality Prediction Using KNN and Logistic Regression
ML and Data Analysis
Breast Cancer Dataset Clustering and Dimensionality
ML and Data Analysis
Predicting Home Prices Using Ames Housing Dataset
ML and Data Analysis
Let's Get in Touch!
GKSDUSQL94@GMAIL.COM
nEW yORK, ny
Let's make your project brilliant!
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