Data Science Scientist

Emily Wu

Berkeley, CA *******@********.*** 820-***-****

EDUCATION

University of California, Berkeley Cumulative GPA: 3.8/4.0 B.A. in Data Science & B.A. in Statistics Expected Graduation: May 2027 Relevant Coursework: Principles and Techniques of Data Science, Data Structures, Structure and Interpretation of Computer Programs, Discrete Math and Possibilities Theory, Linear Algebra and Differential Equations PROJECTS

WordNet Berkeley, CA

Developer Oct 2024

● Implemented a directed graph data structure to represent semantic relationships in the WordNet dataset to enable efficient and traversal operations

● Utilized Depth First Search to identify and retrieve all hyponyms of a given word or list of words, accounting for multiple graph traversal cases and ensuring correctness

● Designed and implemented selection sort to alphabetically order the output list of hyponyms for consistent display in the tool's interface

Build Your Own World Berkeley, CA

Developer Nov 2024

● Developed a randomized 2D tile-based map generator in Java, enabling player interaction and movement

● Designed background music system and custom world generation rules to enhance user engagement and personalization

Scheme Berkeley, CA

Developer Nov 2023

● Implemented a Scheme interpreter in Python, supporting Scheme expressions and user-defined procedures like “lambda,” “mu,” and “merge”

● Implemented tail-call optimization mechanism for efficient evaluation of recursive functions, improving time and memory efficiency

PROFESSIONAL EXPERIENCE

Global Key Advisor San Francisco, CA

Quantitative Analyst Intern Sep 2024 - Dec 2024

● Conducted data preprocessing and feature transformation for regression models, applying techniques such as standardization, one-hot encoding, and polynomial feature expansion to improve prediction accuracy

● Cleaned and transformed both structured and unstructured data from multiple financial sources—including stock trading records and macroeconomic indicators—to build high-quality datasets for modeling Data AI Learning Lab Berkeley, CA

Data Scientist Intern Sep 2024 - Present

● Designed and implemented automated ETL pipelines for processing large datasets, reducing manual workload by 50%

● Optimized query performance in SQL-based distributed systems, improving data retrieval efficiency

● Applied object-oriented design principles to structure reusable and maintainable code for data processing workflows

Test Daily Shanghai, CN

Computer Science Teaching Assistant Oct 2022 - May 2023

● Guided over 200 students through JavaScript and HTML projects, covering topics such as web structure design and basic data handling

● Designed curriculum and led bi-weekly lectures and intensive review sessions focused on syntax and algorithms; over 90% of students achieved a score of 5 on the AP Computer Science Principles exam SKILLS & INTERESTS

Tech Stack: Python, Java, SQL, JavaScript, R, Pandas, Scikit-learn, BigQuery, Flask, Git, Figma, Git, Matplotlib Interests: Snowboarding, Reading, Museums, Baking, Watching movies

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