Skills
Data Analysis, Machine Learning, Econometrics, Python, Stata, R Programming, SQL, Time Series Forecasting, Panel Data Analysis, Causal Inference, Statistical Modeling, Power BI, Text Mining, NLP, Impact Evaluation, Predictive Analytics.
About
I am a PhD-trained economist and data scientist with over 10 years of experience in predictive modeling, econometrics, and statistical data analysis. My expertise spans academic research, public policy, and industry applications, with a strong focus on time series forecasting, causal inference, and AI-powered analytics.
I’ve led data-driven projects for major institutions like Renault, CEET, and European research programs. I work with tools such as Python, R, SQL, Stata, Power BI, and Spark to turn complex datasets into actionable insights and compelling visualizations.
🔍 Areas of expertise:
• Time series models: ARIMA, VAR, VECM, SARIMA
• Econometrics: panel data, impact evaluation, IV, FE/RE models
• Machine Learning: classification, regression, random forests, XGBoost
• Text mining and sentiment analysis (NLP)
• Data visualization and dashboards (Power BI, Tableau)
• Academic writing, technical reporting, and project coordination
I enjoy solving challenging problems, building robust models, and delivering clear insights to support decision-making in finance, development, or innovation.
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