Rebecca Bachtra profile picture

Hello, I'm

Rebecca Bachtra

Data Scientist • Data Analyst

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Get To Know More

About Me

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.

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Education

Statistics, B.S. — University of California, Berkeley (’26)

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Skillset

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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Explore My

Skills

Programming & Data Technologies

SQL

Python

R / RStudio

HTML / CSS

Apache Spark (PySpark & Spark SQL)

Pandas

NumPy

Scikit-Learn

PyTorch

NLP

Data Visualization & Tools

Tableau

Matplotlib

Power BI

Excel

SAS

Jupyter Notebook

Git

Google Workspace

KNIME

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Browse My Recent

Projects

Advanced SQL Project

Advanced Product Analytics (SQL)

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

Project 1

Mineral Composition Analysis

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.

Project 2

Data Science Intern

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

Project 3

Project Three

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.

Project 4

S&P 500 Interactive Dashboard

Built an interactive Shiny dashboard to explore historical S&P 500 prices, returns, and time-scale transformations.

Top-N Cars Shiny App

Top-N Cars Interactive Explorer

Developed a Shiny app that enables interactive exploration of vehicle performance metrics using reactive inputs, visualizations, and sortable tables.

Space Invaders

Space Invaders

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.

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My Professional

Experience

Bureau of Ocean Energy Management (BOEM) — Data Science Intern

Aug 2025 – Present

  • Integrated high-resolution X-ray diffraction (XRD) mineralogical data with large-scale petrophysical and wireline sensor measurements (~100k observations) to support offshore reservoir characterization.
  • Performed statistical analysis and correlation studies to quantify relationships between sensor features and mineral composition, including clay content and lithologic properties.
  • Designed a standardized preprocessing pipeline to handle missing, sparse, and heterogeneous sensor data across multiple wells and measurement types.

Stanford Medicine — Process Design and Strategy Analyst

Jun 2025 – Aug 2025

  • Conducted exploratory data analysis on healthcare operational processes to assess performance, variability, and bottlenecks across workflows.
  • Developed data-backed process metrics and analytical frameworks to support strategic decision-making and system-level improvements.
  • Synthesized qualitative and quantitative data into actionable insights for healthcare leadership.

Sinarmas Land — Data Science Intern

May 2024 – Jul 2024

  • Built regression-based pricing models for 10+ commodity products to uncover predictive relationships between input factors and market performance.
  • Automated preprocessing of large-scale datasets in KNIME and Python, improving data throughput by 30%.
  • Analyzed variance and correlation structures to detect volatility trends across oil categories, informing pricing and risk strategies.

Math Tutor

Aug 2022 – May 2024

  • Tutored 50+ students weekly in probability, statistics, and regression; reinforced concepts with applied examples.
  • Cultivated a supportive learning atmosphere for students to overcome challenges and achieve their academic goals.
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Beyond Academics

Leadership & Involvement

Leadership Role 1

Student Organization Lead

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

Leadership Role 2

Community Engagement Programs Lead

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

Leadership Role 3

Community Service Project Lead

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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Get in Touch

Contact Me