Resume

Full resume (.pdf)

Education

UC Berkeley GPA: 3.38 Expected May 2022

BA in Cognitive Science and Minor in Data Science

Honors Societies:

Alpha Gamma Sigma & Phi Theta Kappa

Relevant Coursework:

Discrete Math, Statistics, Linear Algebra, Calculus, Differential Equations, Matlab, C++, Python, Research Methods, Computational Models of Cognition, Concepts when Computing with Data, Statistical Methods for Data Science.

Work Experience

Data Scientist Summer Intern June 2020 – Aug 2020

Discover Financial Services

• Developed an unsupervised machine learning algorithm leading to the prediction of 3700+ anomalous records out of 1.8 million
• Created an innovative and simple system to enhance a rule that detects fraudulent merchants
• Collaborated with fraud investigators to share and validate results of 300+ potentially fraudulent merchants
• Used Snowflake, H2O.ai, and RStudio while effectively communicating results through presentations and reports

Research Assistant June 2020 – Aug 2020

National Science Foundation & Northern Arizona University

• Received a grant from the National Science Foundation to conduct astrophysics research
• Analyzed sky survey data from ATLAS and ZTF telescopes, leading to the detection of 7000+ asteroids
• Communicated results through data visualization, presentations, and reports

Lead Tutor Jan 2017 – May 2020

College of Marin

• Designed transition guides that helped train 50+ staff members on remote meeting software (Zoom) amidst COVID-19 pandemic
• Provided 50+ hours of individualized tutoring to students in Mathematics including calculus, linear algebra, and statistics, as well as English, Spanish, and ESL courses

Projects

Modeling the Shape of Asteroid 2015 KZ120 |Analysis

• Developed a mathematical model using data query that derives rotational periods, light curves, and colors of 40+ asteroids used sky survey data from ATLAS and ZTF telescopes
• Derived a previously-unknown rotational period and shape of an asteroid using light curve inversion techniques
• Used python, collab notebooks and published algorithms for this work

Index Fund Investment Portfolio Calculator |Analysis

• Created a shiny app that calculates the total stock market of an index fund to track the future performance of the initial investment
• Used R, diverse shiny gadgets, and future value calculations assuming a normal distribution to illustrate the flow of an investment assuming annual or monthly contributions

Hurricane Pattern Validation |Analysis

• Applied exploratory data analysis and data visualization in R to understand hurricane patterns
• Results illustrated a greater frequency of hurricanes than initially proposed

Trends of Population, Poverty, Fertility and Child Mortality | Analysis

• Used python and Jupyter notebooks to analyze and visualize the relationship between highlight trends in worldwide population growth and poverty over time
• Used data and inferential statistics to measure the relationship between fertility rates and child mortality across continents
• Results indicate that environmental factors influence population growth and extreme poverty has increased in the United States while decreasing in China

Community Involvement

President Fall 2019 – Spring 2020

Alpha Gamma Sigma Honor Society of College of Marin (AGS)

• Led weekly board meetings, fundraising events, and volunteering activities for 70+ members
• Worked with Treasurer to create a budget and fundraised $6000+ for the club

President/Co-Founder Fall 2018 – Spring 2020

Women in Tech Club of College of Marin (WIT)

• Founded in response to lack of diversity and inclusion within university’s computer science community
• Led weekly board meetings (1 hour) with 7 board members and 1 advisor via Slack
• Facilitated information about local internships opportunities, guest talks, and hackathon’s for all members

Introduction to Physics, College of Marin October 2020

Guest Speaker

• Facilitated an introduction to astrophysics lecture and shared research findings to a class of 20+ students