Economist, Econometric Modeling, Forecasting, Policy Impact Analysis

Omid Asadollah

Miami, FL 786-***-**** *************@*****.*** Linkedin/in/omid-asadollah

Permanent Resident (U.S. Work Authorized)

Econometrics Marketing Analysis Machine Learning & Forecasting Time Series Proficient in econometric modeling, causal inference, and market research. Skilled in analyzing macroeconomic trends and policy impacts, and in translating complex data into actionable insights for business decision-making. For my PhD dissertation, I modeled inflation using SVAR and Bayesian forecasting methods. This research resulted in three working papers and one publication in the Journal of World Economy. Work Experience

Researcher, Florida International University August 2021 – present

• Conducted a causal inference study analyzing the impact of global geopolitical risks and supply chain pressures on U.S. inflation and inflation expectations using Bayesian model (PhD Dissertation).

• Developed an LSTM-based neural network trained on macroeconomic data to forecast stock prices across seven indicators, reducing validation loss from 0.269 to 0.024.

• Collected, cleaned, and merged large-scale economic datasets from sources such as the Federal Reserve, World Bank, IMF, and Bloomberg.

• Integrated machine learning with traditional econometric modeling to enhance prediction accuracy and capture nonlinear patterns in macro data.

• Developed and optimized a loan approval prediction model using LightGBM, achieving 88% accuracy and improving risk assessment efficiency.

Data Analyst, Samen Holding May 2019 – Jun 2021

• Led A/B testing and demand elasticity estimation on insurance discounts, increasing customer conversion rates by 8%.

• Apply logistic regression to estimate the probability of loan defaults based on changes in interest rates. Education

Florida International University, PhD in Economics Expected May 2025 Allameh Tabataba’i University, MS in Actuarial Science University of Science and Culture, BS in Statistics Publication

"Geopolitical Risk, Supply Chains, and Global Inflation" (with Linda Schwartz Carmy, Md. Rezwanul Hoque, and Hakan Yilmazkuday), The World Economy 2024

Technical Skills

• Programming Languages and Software: Python, SQL, STATA, Power BI and LATEX

• Tools and Technologies: Pandas, Numpy, Scikit-Learn, TensorFlow, Keras, and XGBoost

• Data processing: Feature Engineering, Data Visualization (Seaborn, Matplotlib), Exploratory Data Analysis

• Statistical Methods: Hypothesis Testing (A/B, ANOVA), Causal Inference (RCTs, IV, RDD, DiD), Time Series

(ARIMA, VAR), OLS, Logistic Regression

• Machine Learning: Supervised/Unsupervised Learning, Neural Networks (LSTM, RNN), Ensemble Methods Certifications

• Google Advanced Data Analytics Certificate

• Google AI Essentials Certificate

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