
Hello, I'm
Data Scientist • Data Analyst
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Hi, I'm Rebecca -- a UC Berkeley Statistics and Data Science student ('26) and recent Data Science intern at the Bureau of Ocean Energy Management (BOEM). I’m passionate about leveraging data analysis, statistical methods, and visualization to turn complex information into meaningful, decision-ready insights.
Statistics, B.S. — University of California, Berkeley (’26)
Data Engineering
Batch and streaming ETL pipelines, data cleaning and transformation, schema design, validation, testing, and ensuring data reliability across analytical workflows.
Analytics & Visualization
Exploratory Data Analysis (EDA), statistical analysis, and data storytelling through dashboards and visualizations that translate insights into clear, measurable KPIs.
Machine Learning
Supervised learning (classification and regression), feature engineering, model evaluation, and applying machine learning methods to real-world datasets.
Product Thinking
Problem framing, cross-functional collaboration, and communicating technical insights to non-technical stakeholders through clear presentations.
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Built an end-to-end product and customer analytics workflow in SQL to support KPI-driven product analysis and decision-making. Implemented advanced aggregations, window functions, and rule-based segmentation to analyze trends, cumulative performance, rankings, and part-to-whole contributions. Produced analytics-ready Customer and Product reporting views with core metrics and KPIs (recency, AOV, average monthly spend/revenue) aligned with real-world product analytics use cases
Integrated high-precision XRD mineralogy with petrophysical and wireline log data to analyze offshore geological formations. Applied exploratory data analysis, correlation analysis, and clustering techniques to identify mineral associations and sediment types, supporting BOEM’s subsurface geological characterization.
Built regression-based pricing models across 10+ commodity products to identify key drivers of market performance. Automated large-scale data preprocessing in KNIME and Python, increasing data throughput by 30%, and analyzed variance and correlation patterns to uncover volatility trends informing pricing and risk strategies
Performed exploratory data analysis and time-series visualization on global demographic datasets, implementing table joins and custom functions to compute and visualize absolute poverty levels across multiple countries.
Built an interactive Shiny dashboard to explore historical S&P 500 prices, returns, and time-scale transformations.
Developed a Shiny app that enables interactive exploration of vehicle performance metrics using reactive inputs, visualizations, and sortable tables.
Developed a Space Invaders–style arcade game in Java featuring real-time player controls, enemy movement logic, projectile mechanics, and collision detection. Implemented increasing difficulty through adaptive enemy speed, score tracking, and win/loss conditions, including enemy bombs and game restart functionality.
My Professional
Beyond Academics
Led community-focused initiatives combining art therapy and public health outreach. Organized art programs at a local nursing home with 20+ volunteers, partnered with the Lions Club to provide vision screenings and $8,000 in optical care for students, and coordinated menstrual product drives donating 3,499 items to local nonprofits
Collaborated with the student senate to draft and pass legislation expanding CalFresh/EBT access at community colleges; Spearheaded menstrual product drives, donating 3,499 products to nonprofits; Partnered with multiple departments to secure a $250,000 endowment for a dormitory bed supporting unhoused students—addressing student housing insecurity
Planned and executed 40+ large-scale campus events including Mental Health Awareness Week, Earth Day Festival, and Breast Cancer Awareness Day. Collaborated with campus departments and community partners, managed event budgets, and coordinated food distribution efforts with Placer Food Bank serving 300+ students
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