Detail-oriented and analytical Master's graduate in Business Analytics from Hofstra University with hands-on experience in data analysis, visualization, predictive modeling, and statistical testing. Proficient in Python, SQL, R, Tableau, Power BI, and Excel. Adept at leveraging real-world data to uncover insights and inform strategic decision-making. Capstone focused on mental health disparities using advanced statistical and geospatial analysis. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.
State-Level Volleyball (2019), District-Level: Handball (2019), Football (2018), Carrom (2017), Data Visualization, Public Dataset Exploration, Traveling, Cooking
Analyzing the Impact of COVID-19 on Mental Health Care Access and Utilization, Conducted statistical and geospatial analysis using R (ggplot2, dplyr) on publicly available datasets, Built predictive models using logistic regression to assess demographic and regional disparities, Created data visualizations and maps to communicate key insights for policy recommendations, R, ggplot2, dplyr, ANOVA, logistic regression, geospatial mapping