Viviana Marquez  new_releases

📊 Data Scientist with a background in Finance and Statistics, and experience in data analysis, business intelligence, and predictive and statistical modeling applied to banking, business, socioeconomic, and population data. Passionate about turning data into actionable insights using data science, programming, and statistical tools to drive strategic decision-making and create meaningful impact. Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), R, SPSS, Power BI, Databricks, and SQL Server. Strong foundation in Mathematics, Linear Algebra, Calculus, Statistics, and Machine Learning algorithms (XGBoost, Random Forest, SVM, Linear Regression, Logit, Elastic Net, Lasso, Ridge, Clustering) Recognized for teamwork, adaptability, problem-solving, and a proactive approach to continuous learning and collaboration.