Highly motivated and committed graduate specializing in business analytics with a solid foundation in business administration. Proficient in Python, R, SQL, and Tableau, with strong skills in business analysis and deriving actionable insights. Adept at leveraging analytical tools to solve complex business problems and drive industry solutions.
Investigated machine learning’s DOE by evaluating 28 models to assess variable impacts using metrics like accuracy and F1 score. Applied ANOVA, PCA, and stepwise regression to identify predictive factors, optimizing model complexity and efficiency. Developed predictive models like Logistic Regression, KNN, and Decision Trees for ABC Wireless Inc. to identify at-risk customers, reduce churn, and enhance retention strategies using R.