• Education

  • University of Massachusetts Amherst

    Amherst, MA Department of Mathematics and Statistics Master of Science in Statistics Spring 2024 Cumulative GPA: 4.0/4.0
    • Relevant Coursework

      • Regression Modeling
      • Categorical Data Analysis
      • Causal Inference
      • Statistical Computing
      • Mathematical Statistics I and II
      • Bayesian Statistics
      • Statistical Methods for Data Science
      • Statistical Consulting
  • Smith College

    Northampton, MA Bachelor of Arts, Spring 2023 Major: Data Science Concentration: Community Engagement Cumulative GPA: 3.99/4.0
    • Relevant Coursework

      • Intro to Statistical and Data Sciences
      • Multiple Regression Statistics
      • Intro to Computer Science
      • Communicating with Data
      • Programming with Data Structures
      • Linear Algebra
      • Probability
      • Multivariable Calculus
      • Discrete Mathematics
      • Mathematical Statistics
      • Advanced Programming in R
      • Data Ethnography
  • Skills:


    R (tidyverse, Shiny); Python; Java; SQL; Mathematica; Data Wrapper; GitHub; data manipulation; data visualization; data analysis; data communication; Google Sheets; Google Colaboratory and Jupyter Notebook; project management, LaTeX
  • Work Experience

  • University of Massachusetts Amherst, Department of Mathematics and Statistics

    Graduate Teaching Assistant Fall 2023-Spring 2024
    Amherst, MA

    • Led weekly discussion classes and office hours for Elementary Statistics to clarify lecture material for students.
    • Prepared comprehensive review and practice resources including worksheets and activities.

  • Smith College, Jandon Center for Community Engagement

    Summer Intern Summer 2023
    Northampton, MA

    • Compiled publicly available database of over 150 activist memoirs as a resource for students and faculty at Smith College through using R to web-scrape info from online best-sellers lists. ( Project Link )
    • Cleaned and visualized data to summarize and convey the Jandon Center’s impact for the 2022-23 annual report.
    • Transferred archival data to a digital cloud-based platform in order to preserve and organize this info to facilitate future research.

  • Women's Brick Initiative

    Data Analysis Intern Summer 2022
    Northampton, MA Project Link

    • Conducted a series of research projects analyzing diversity and representation within LEGO minifigures.
    • Wrote a series of short blog-style articles to convey research findings to the public through the WBI website.
    • Used R for web scraping, data wrangling, and data visualization, and GitHub

  • DSC-WAV: NSF Funded Workforce Development Grant through Smith College

    Data Science Intern Fall 2021 - Spring 2022
    Northampton, MA Website

    • Built an Interactive Map Dashboard which visualizes the story of the impact of highway I-91 being built through Springfield, MA, on the communities it divided through historical map images and visualization of racial demographic data.
    • Worked on a team of six students advised by Professor Benjamin Baumer, and in partnership with the New England Public Media.
    • Employed Leaflet and R SHiny to develop the dashboard and GitHub to work collaboratively according to a Scrum (Agile) workflow.

  • B.I.G. Summer Research Program

    Institute for Quantitative & Computational Biosciences, UCLA
    Research Assistant Summer 2021
    Los Angeles, CA Website

    • Worked in Dr. Bogdan Pasaniuc’s lab on a project to identify cell type interaction eQTL effects from bulk RNA-seq data using computational methods.
    • Authored an abstract and delivered a 5-minute presentation to communicate research findings.

  • STRIDE Scholar

    Department of Stastical and Data Sciences, Smith College
    Research Assistant Fall 2019 - Spring 2021
    Northampton, MA

    • Edited introductory data science textbook by Dr. Benjamin Baumer.
    • Contributed to the development of an R package used to import data from Wikipedia into R.

  • Selected Projects

    See full list of project on the Projects Page

  • Predictive Analysis of Hospital Costs

    Project Link
    University of Massachusetts Amherst, Spring 2024

    • Implemented 20 different statistical learning techniques in R to predict hospital costs and to compare methods.
    • Estimated test error using 10-fold cross validation for each method.
    • Conducted a simulation study to assess the impact of the number of neighbors used in the k nearest neighbors algorithm.

  • Predicting Auto Insurance Claim Costs Using Historical Claim Data

    Travelers Analytics Case Competition 2023
    University of Massachusetts Amherst, Fall 2023

    • Built an ensemble Machine Learning Model to predict claim costs using Python.
    • Assessed contribution of each feature using feature importance plots and SHAP Beeswarm plots.
    • Communicated the business impact of our findings via a presentation to the Travelers team.

  • Using Simulation to Assess Strategy Effectiveness in UNO

    Project Link
    University of Massachusetts Amherst, Spring 2023

    • Developed a Python algorithm to simulate the popular card game UNO.
    • Conducted Z-tests to assess effectiveness of four different strategies as compared to a random strategy.
    • Found that several of the strategies were effective at increasing winning probability, although the most effective only increased chances of winning by at most a couple of percentage points.

  • Analysis of Access to Emergency Funds in Sub-Saharan Countries: A Human-Rights Based Approach

    Sponsored by Women at the Table Project Link
    Smith College, Fall 2022

    • Trained a Decision Tree Classifier Machine Learning model to predict whether or not an individual has access to emergency funds with 68% accuracy. The model makes predictions using demographic and other financial data sourced from The 2017 Global Findex Database published by The World Bank.
    • Assessed fairness of the model based on gender using a variety of group and individual fairness metrics and implemented de-biasing techniques to improve the fairness.
    • Documented the full analysis in an iPython Google Colab notebook structured as an educational resource for more ethical machine learning including full explanations of each step of the analysis oriented toward a non-technical audience.

  • Trends in Students Studying Early Childhood Education in The Pioneer Valley, MA

    In partnership with Community Action Pioneer Valley Head Start and Early Learning Programs
    Smith College, Fall 2022

    • Collected and analyzed data on the numbers and demographics of students studying Early Childhood Education (ECE) from post-secondary institutions within the Pioneer Valley, MA.
    • Integrated data from IPEDS, the Census Bureau Household Pulse Survey, and the Bureau of Labor Statistics in order to contextualize the survey data into the larger story of the ECE labor shortage and the impacts of the pandemic on the same.
    • Summarized findings into a report for Community Action Pioneer Valley Head Start and Early Learning Programs in order to inform their funding plans for the upcoming funding cycle.

  • Sex Differences in Depression and Sleep Disturbance as Int`er-Related Risk Factors of Diabetes

    Published in Frontiers in Clinical Diabetes and Healthcare Publication Link
    Smith College, Spring 2020-Summer 2022

    • Used multiple logistic regression and publicly available U.S. census data from IPUMS NHIS to analyze depression and sleep as inter-related predictors of diabetes.
    • Submitted report to Undergraduate Statistics Class Project Competition (USCLAP) and received first place in the Intermediate Statistics Division, Spring 2020
    • Presented at the Electronic Undergraduate Statistics Research Conference (eUSR) Fall 2020: https://www.causeweb.org/usproc/eusrc/2020/program/10
    • Revised report substantially and published in peer-reviewed journal Frontiers in Clinical Diabetes and Healthcare, Summer 2022

  • censusviz R package

    Project Link
    Smith College, Spring 2022

    • Built an R package which provides an interface for exploring and visualizing historical racial demographic census data (1950-2020) sourced from IPUMS for any region in the United States (by county).
    • The package provides functionality for visualizing the data on leaflet maps as well as for accessing the data in an accessible, tidy format such that the user can then create their own visualizations.

  • Awards and Honors

  • Kathleen Bostwick Boyden Prize for Excellence in Community Engagement

    Smith College, May 2023 Each year, this prize goes to a graduating senior for stellar leadership and commitment to community engagement.
  • Inducted into Mu Sigma Rho (National Honor Society for Statistics)

    Smith College, May 2023
  • American Statistical Association Five College DataFest First Place Winner

    Smith College, April 2023 DataFest is a nationally-coordinated undergraduate competition in which teams of students work over a weekend to extract insight from a rich and complex data set.
  • Community Engagement Award

    Smith College Impact Awards, April 2023 This award recognizes a long-term or consistent student-led effort to engage the community and have an impact beyond the Smith College campus.
  • Leadership Experience

  • Chair of Smith College Community Service Organization

    2022 - 2023 Academic Year

    • Supporting the functioning of Jandon events and programming through management of CSO Core and active integration into the staff team.
    • Managing tracking of data for events and initiatives including attendance, date, time, and location using Salesforce.
    • Organizing CSO events to build community among Smith students as well as to connect students with the broader community.

  • Chair of House Representatives, Smith College Community Service Organization

    2021 - 2022 Academic Year

    • Organized biweekly meetings to plan student-led community engagement projects.
    • Lead and coordinated a project for students to make no-sew fleece blankets to donate to folks in need. Donated 10 blankets to DIAL/SELF—a local organization that provides resources to youth at risk of homelessness.

  • American Red Cross Volunteer, Disability Integration

    Summer 2022

    • Compiled a resource guide of organizations that provide services for folks with disabilities within the Eastern NY Region and distributed it to be readily available in emergency shelters that pop up in response to natural disasters such as floods or fires.
    • Reached out to all organizations listed in the guide in order to establish ways to collaborate to meet the immediate needs of folks with disabilities in the case of natural disaster.
    • Contributed to creating bins of resources to address immediate needs of folks with disabilities to be available in pop-up shelters; bins contained supplies such as fidget toys, noise-canceling headphones, weighted blankets, and specialized eating utensils.