I am a skilled and dynamic data scientist with over 3 years of analytics expertise. Proficient in Python, SQL, and R, I have successfully led and spearheaded analytics projects in both the technology and public health sectors, unearthing valuable insights and driving impactful outcomes.Leveraging my academic background in statistics and computer science, I not only excel in constructing powerful predictive models, but I also possess the unique ability to craft compelling data-driven narratives that resonate with clients and stakeholders. By seamlessly blending data with the art of storytelling, I empower strategic decision-making, elevate customer experiences, and catalyze business growth across critical domains.KEY COMPETENCIES:Linear/Logistic Regression | Linear/Quadratic Discriminant Analysis (LDA/QDA) | Naive Bayes | K-Nearest Neighbors (KNN) | K-Means Clustering | Principal Component Analysis (PCA) | Hierarchical Models | Decision Trees | Random Forest | Support Vector Machines (SVM) | Deep Learning/Neural Networks | Cross Validation | Bootstrapping