I'm an undergraduate at the University of Virginia, majoring in Computer Science and minoring in Data Science.
I’m passionate about technology, problem-solving, and continuous learning, and I enjoy applying my skills to real-world challenges.
Outside the classroom, I work on personal projects that involve machine learning, predictive modeling, and data visualization, using a variety of programming languages and tools.
I’m especially drawn to the full data pipeline—from data collection and cleaning to analysis and insight generation—and I constantly iterate to improve my work.
I’m interested in opportunities in business analysis, consulting, software development, and data science. I’m excited by the power of data-driven insights and aim to create meaningful impact by combining technical skills with thoughtful analysis.
Experience
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SuccessKPI
Junior Data Analytics Consultant
June 2023 – August 2023
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Supported cloud lifecycle management product by conducting market research of competitive products, synthesizing findings into compelling presentations that informed strategic planning and product positioning.
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Developed and refined Python scripts to cleanse survey data into impactful Tableau visualizations, and spearheaded automation processes using Excel macros to reduce manual project workflows by 40%.
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Elevated customer interaction analysis by executing a comprehensive speech study on the SuccessKPI platform to optimize natural language processing models.
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Established the development of customer-focused AWS Lambda functions for data cleansing, integrating Amazon Redshift to enhance analytic performance within the SuccessKPI suite.
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Hilton
Customer Experience Data Analyst
May 2022 – August 2022
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Optimized reservation management and guest data tracking using internal hotel software, ensuring operational precision and efficiency.
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Synthesized guest feedback to pinpoint usability challenges and process inefficiencies, proposing targeted digital solutions.
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Collaborated with cross-functional teams to streamline workflows and enhance internal communication systems through strategic technology integration.
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Integrated data-driven performance metrics and predictive analytics to identify market trends, optimize resource allocation, and boost revenue.
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Marriott
Data Analyst
May 2021 – August 2021
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Provided data analysis services for Marriott, a global leader in hospitality, driving strategic insights and operational improvements.
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Created interactive dashboards in Tableau to monitor key operational metrics and guest satisfaction trends.
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Developed Python scripts using Pandas and matplotlib to track performance trends, revenue, and customer behaviors.
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Generated actionable insights that enhanced business strategies and improved overall operational efficiency.
Education
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University of Virginia
Bachelor of Arts, Computer Science
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Introduction to Programming, Data Structures and Algorithms 1, Discrete Mathematics, Software Development Methods, Computer Systems and Organization 1, Program & Data Representation, Computing for Social Good, Data Structures and Algorithms 2, Theory of Computation, Computer Systems and Organization 2, Software Dev Essentials, Foundations of Data Analysis, Cybersecurity, Database Systems, Network Security
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University of Virginia
Data Science Minor
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Intro Data Science with R, Intro to Statistical Analysis, Intro to Regression Analysis, Data Analysis with Python, Data Science Systems, Communicating with Data, Foundations of ML, Data Science Project Course
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Warwick High School
IB Diploma
- Earned the IB Diploma, a rigorous, internationally recognized program that cultivated my critical thinking, research skills, and global perspective while fostering a well-rounded academic foundation.