
Data science graduate student skilled in Python, R, and SQL with experience in statistical modeling, machine learning, and data visualization. Combines technical expertise with business strategy experience from competitive case competitions and undergraduate projects. Seeking to drive data-driven decision-making in an analytics internship.
Data Analysis & Manipulation: Python (pandas, numpy), R (tidyverse, dplyr, tidyr), SQL
Data Visualization: Tableau, ggplot2, matplotlib, seaborn, Excel
Machine Learning: scikit-learn, statistical modeling
Programming: Python, R, SQL
Soft Skills: Team Work, Project Management, Communication