Josebelle D.

Graduate of BS Statistics and currently pursuing a Master’s degree in Data Science, with a focus on predictive modeling and data-driven decision-making. Results-driven Data Analyst with over 10 years of experience in statistical analysis, data visualization, and applied analytics across business and research settings. Experienced as both a Modeling Analyst and Investment Analyst, with strong proficiency in Excel, Python, R, Bloomberg Query Language (BQL), IBM SPSS, and JAMOVI. Skilled in building predictive models, dashboards, and analytical reports to support strategic decisions. Knowledgeable in machine learning techniques, including k-nearest neighbors (KNN), linear regression with regularization, classification models (logistic regression, decision trees, and Naive Bayes), and convolutional neural networks. Academic experience includes teaching statistics, thesis consultation, and guiding students in quantitative research. Also engaged in freelance statistical consulting and Six Sigma projects, translating complex data into actionable insights.