I’m Christina Elias, a Data Analyst / Statistician with more than 9 years of experience in statistical analysis, predictive modeling and exploiting complex data. I’m an expert in Python, R and SQL, and I have designed and evaluated models (regression, classification, clustering, GLM) as well as automated pipelines to ensure reliable reporting, improve data quality and support decision making.
I am accustomed to large, heterogeneous datasets; I master exploration, feature engineering, cross-validation and data visualization with Power BI and Tableau. My background in econometrics, actuarial science and data analytics enables me to contribute across the full Data lifecycle: framing, preparation, modeling, evaluation and delivery of high-value insights.
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