CV
Samir Orujov
Summary
Assistant Professor of Mathematics and Statistics at ADA University, specializing in time series analysis, econometrics, and machine learning with expertise in Python and R programming.
Education
- Mathematics and StatisticsADA University
Work Experience
- Assistant Professor2022-09-01 - PresentTeaching undergraduate and graduate courses in mathematics and statistics. Conducting research in time series analysis, econometrics, and machine learning applications.
- Developed interactive lecture presentations for Mathematical Statistics course
- Created innovative educational technology combining theory with hands-on applications
- Specialized in GARCH models and volatility analysis
- Applied machine learning techniques to financial time series
- Proficient in Python, R, MATLAB for statistical analysis and modeling
Skills
Programming Languages
- Python
- R
- MATLAB
- SQL
Statistical Software
- Stata
- EViews
- SPSS
- SAS
Web Technologies
- HTML/CSS
- JavaScript
- Jekyll
- Git
Statistical Methods
- Time Series Analysis
- Econometrics
- GARCH Models
- Machine Learning
- Financial Statistics
- Hypothesis Testing
Publications
- VS-LTGARCH-X Model: Volatility Modeling with Long Memory2024Journal TitleResearch on advanced GARCH modeling techniques for financial time series analysis.
Presentations
- Advanced Time Series Modeling in Finance2024Academic ConferenceBaku, AzerbaijanPresentation on modern approaches to financial time series analysis
Teaching
- Mathematical Statistics2022ADA University, School of BusinessRole: Undergraduate courseComprehensive course covering probability foundations, sampling distributions, estimation theory, and hypothesis testing. Features interactive lectures with built-in calculators and visualizations.
- Applied Econometrics2022ADA University, School of BusinessRole: Graduate courseAdvanced econometric methods for economic data analysis including time series techniques and modern computational approaches.
- Time Series Analysis2023ADA University, School of BusinessRole: Graduate courseSpecialized course in time series modeling, ARIMA models, GARCH modeling, and applications to financial data.
Portfolio
- Interactive Mathematical Statistics Lectures2025Educational technologyInteractive lecture presentations with built-in calculators, quizzes, and mathematical visualizations for undergraduate statistics education.
- GARCH Modeling Research2024Academic researchResearch on volatility modeling in financial time series using advanced GARCH specifications.
Languages
- EnglishFluent
- AzerbaijaniNative speaker
Interests
- ResearchTime Series Analysis, Econometrics, Machine Learning, Financial Statistics, Volatility Modeling
- Education TechnologyInteractive Learning Materials, Statistical Visualization, Educational Software Development