Data Science Student | Aspiring Data Scientist
Send a job offer directly to this candidate
I am currently pursuing a double major in Data Science and Applied Statistics at Purdue University, with a strong interest in data-driven decision making, analytics, and technology. Through my academic projects and internships, I have gained experience with Python, SQL, R, Excel, and various visualization tools, enabling me to effectively clean, analyze, and present data.
I am passionate about solving complex problems, uncovering insights from messy datasets, and applying statistical and analytical methods to support better decisions. Beyond technical skills, I enjoy working in collaborative environments where I can combine creativity with structured problem-solving.
My long-term goal is to contribute to impactful projects in data science, business analytics, or technology consulting while continuously growing my expertise in modeling, visualization, and data storytelling.
I have hands-on experience in data science and analytics through internships and academic projects. As a Business Tax Analysis Intern at Deloitte, I worked on consolidating and cleaning large datasets with Python and Excel, built interactive dashboards, and developed repeatable workflows to improve decision-making. At GreenBrew, I served as a Data Science Intern, where I analyzed customer sales data with SQL/Python, automated reporting dashboards, and collaborated with marketing to translate data insights into strategies.
Additionally, I have led university-based projects in exploratory data analysis, clustering, and visualization, building Streamlit dashboards and using tools like pandas, NumPy, and Matplotlib to communicate findings effectively.
I am currently pursuing a B.S. in Data Science and Applied Statistics at Purdue University (Expected May 2028), with a strong academic record (GPA: 3.86/4.00, Dean’s List). My coursework includes Data Structures & Algorithms, Object-Oriented Programming, Discrete Math, and Intro to Data Science. I have also developed technical proficiency in Python, R, SQL, and data visualization tools, applying these skills in both classroom and real-world projects.