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benny_dylan

Dylan

@benny_dylan

Applied Econometrics, Quantitative Research Expert

Cina
Inglese, Coreano, Cinese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Delivered end-to-end data analysis solutions for research and applied projects. • “Collected and built datasets using Python-based methods (public data sources)” • “Performed regression analysis (OLS, Logit, Probit)” • “Developed panel data and causal inference models (DID, PSM)” • “Conducted time series and spatial econometric analysis” • “Applied DEA, AHP, and entropy methods for evaluation studies” • “Implemented machine learning models (decision trees, neural networks)” • “Cleaned, processed, and analyzed complex datasets” • “Provided clear interpretation and report-ready outputs”... Continua a leggere

Competenze

b
benny_dylan
Dylan
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Modello statistico e analisi
I will do econometrics and statistical data analysis using stata
A partire da40 USD / progettoMaggiori dettagli
Modello statistico e analisi
I will analyze your data using spss
A partire da40 USD / progettoMaggiori dettagli

Esperienza lavorativa

Upwork

Data Analyst (Econometrics & Quantitative Research)

Upwork • Freelance

May 2026 - Present • 2 mos

I am a PhD-level data analyst specializing in econometrics, statistical modeling, and applied data analysis. I help clients turn complex data into clear, actionable insights — from data collection and processing to advanced modeling and interpretation. I provide end-to-end data solutions, including building datasets (when data is not readily available), applying appropriate models, and delivering results that are ready to use in research or decision-making. What I do best: • “Regression analysis (OLS, Logit, Probit)” • “Panel data models (Fixed/Random Effects)” • “Causal inference (DID, PSM, treatment effects)” • “Time series and spatial econometrics” • “Efficiency and evaluation methods (DEA, AHP, entropy method)” • “Machine learning (decision trees, neural networks)” Data collection & processing: • “Web data collection using Python (public and legally accessible sources only)” • “Data cleaning, merging, and preprocessing” Tools: Stata, Python, SPSS, EViews I have experience working with projects in economics, management, finance, trade, and social sciences, and my methods are also applicable to interdisciplinary research such as psychology and healthcare. I am fluent in English, Korean, and Chinese (native), which allows me to work with multilingual data and research materials. My goal is not just to run models, but to help you understand your data and make confident decisions. Feel free to reach out — I’d be happy to discuss your project.