I'm a recent Computer Science graduate (Concentration in Statistics) from Grinnell College passionate about building robust, scalable data pipelines and infrastructure. My experience in ETL, database management, and software development positions me to solve complex data challenges and drive data-driven decision-making.
As an aspiring Data Engineer, my focus is on the systems and processes that make data reliable and accessible. My academic background in Computer Science and Statistics provides a strong foundation in algorithmic thinking, data structures, and statistical modeling. This is complemented by practical experience in building ETL pipelines, managing various databases, and optimizing data flow in real-world scenarios.
During my time as a Research Assistant at Grinnell College, I gained hands-on experience in collecting, cleaning, and integrating diverse datasets for analytical applications. My internship at BNY Mellon further honed my skills in data quality, process optimization, and ensuring data integrity in a professional environment. I am proficient in Python, R, and SQL, with a solid understanding of modern data methodologies like Agile and Scrum. I am eager to apply my skills to design, develop, and maintain efficient data solutions that support critical business functions.
I'm on a mission to craft applications that reflect my passions and curiousity. These projects range from coding experiments to innovative solutions and reflects my enthusiasm for all things digital.
You can download my latest resume below:
Download Resume (PDF)