University Coursework
Data Science, Data Analytics, Machine Learning
Data Science (COSE471; Korea University, Spring 2017)
Understanding Machine Learning and its Applications (GEST141; Korea University, Spring 2017)
- Machine Learning Theory
- Machine Learning Philosophy
Applications of Mathematical Programs (GEQR070; Korea University, Spring 2017)
- Data Processing, Data Visualization in Python
- Statistical Modeling, Machine Learning in Python
- Program Optimization
Big Data and Analytics (CSCI 6444; George Washington University, Fall 2017)
- Big Data in R
- Text Analytics in R
- Data Visualization in R
- Analytic Process and Cycle
Intro to Statistical NLP (CSCI 6907; George Washington University, Fall 2017)
- Natural Language Processing in Python
- Text Processing, Wrangling, and Analytics in Python
- Linguistic Model Building
- Command Line NLP Packages
- Final: Semantic Search 3000
Regression Analysis (STAT 2118; George Washington University, Fall 2017)
- Inferential Statistics
- Linear Regression Model Building and Analysis
- Hypothesis Testing
- Analysis in SAS
Statistical Computing Packages (STAT 2183; George Washington University, Spring 2018)
Machine Learning (Coursera; Stanford University, Online Certificate)
Computer Science
Capstone Design Project II
Algorithms
Software Engineering
Probability for Computer Science
Foundations of Computing
Operating Systems
Computer Architecture
Systems Programming
Python Programs and Database Applications (ISTM 6200; George Washington University, Spring 2018)
Database Systems and Team Projects (CSCI 2441; George Washington University, Spring 2016)