AHMMED BULBUL'S RESUME
Professional Summary
Dedicated researcher and PhD candidate in international trade and economics with expertise in econometrics, monetary economics, and empirical policy analysis. Experienced in advanced quantitative methods, including Markov Switching Vector Autoregression (MS-VAR), dynamic Nelson–Siegel models, time-series econometrics, and machine learning approaches such as LSTM. Current research focuses on monetary policy transmission mechanisms, interest rate term structure modeling, and regime-dependent economic dynamics. Strong interest in public economics, applied policy evaluation, and interdisciplinary empirical research. Seeking to contribute rigorous quantitative analysis and collaborative research expertise as a postdoctoral associate in economics.
Education
2/2027 PhD in International Trade & Economics, Inje University (Candidate)
2019 Master of Arts, International Trade and Economics, Ajou University.
2016 Bachelor of Arts, Management, Shanto-Mariam University of Creative Technology,
Dhaka, 13
Research Interests
Econometrics
· Monetary Economics
· Public Economics
· Financial Econometrics
· Interest Rate Modelling
· Monetary Policy Transmission
· Machine Learning in Economics
· Time Series Analysis
· International Finance
Skills
Econometrics | MS-VAR | LSTM | Python | Eviews | SPSS | Financial Econometrics | Time Series Analysis | Monetary Economics | Research Writing
Research History
04/2021 - Current
Researcher (Doctoral Level)
Inje University, South Korea
· Developed econometric models, including MS-VAR, for monetary regime analysis
· Conducted yield curve modeling using Dynamic Nelson–Siegel methods
· Applied Python and statistical software to financial datasets
· Investigated monetary policy transmission mechanisms
· Implemented forecasting methods, including LSTM models
03/2018 - 04/2019
Teaching Assistant
Ajou University, South Korea
· Assisted instruction in economics and finance courses
· Supported empirical research activities
· Evaluated assignments and provided academic guidance
Language
Bangla (Bengali): Native
English: Fluent (Academic and Professional Proficiency)
Korean: Intermediate (KIIP Level 4 Completed)