I am enrolled in the Ph.D. program in Economics at George Washington University and will graduate in August 2025. I am a doctoral candidate with a strong background in economics, mathematics, and statistics. My Ph.D. research focuses on empirical applications of dynamic models, global economic interdependence, US-Asia relations, policy formulation, and trading and investing strategy development. I mastered Advanced calculation, Economics, Econometrics, International Economics, Statistics, Time Series Methods in Financial Econometrics, and Machine Learning. I can analyze macroeconomic states and financial markets using econometric and statistical tools and forecast the trends of markets and macroeconomic indicators using time-series models and machine learning. I am also proficient in MATLAB, Python, R, SQL, STAT, Excel, PowerPoint, Word, and LaTeX. I worked as a data analyst and a business consultant for two years in an energy investment group. I have taught courses in econometric programming and time-series modeling for four years at George Washington University. I have researched applied econometrics and global economic interdependence for three years at the University of Alberta and George Washington University. So, I have six years of experience in data analysis, international economics research, and teaching. I am searching for a job in 2025 for business consulting, quantitative analysis, and economic and market research.