Experience

View my Resume (PDF)

Professional Experience

Data Analyst Intern

GreyNoise Intelligence — Finance and Operations Team

Jun 2023 – Sep 2023 | Washington, DC

  • Automated Excel error checks across multiple datasets to identify inconsistencies and improve data quality.
  • Rebuilt and partially automated NAICS-to-industry mapping to enhance classification relevance.
  • Developed automated financial models in Excel to streamline deal calculations for the CX team, including handling mid-term customer upgrades and co-term subscription merging.
  • Partially automated company vendor and transaction breakdown in Excel, enabling detailed spend analysis by vendor, category, and month from year-specific data.
  • Created a cash investment tracker integrating financial institution data to forecast returns for monthly financial planning.
  • Conducted customer churn and point-of-origin analysis using R, identifying key variables influencing retention and lead conversion.
  • Built an interactive churn prediction dashboard with Streamlit to visualize drivers and support retention strategies.

Undergraduate Research Assistant

Darla Moore School of Business — Division of Research

May 2021 – Oct 2021 | Columbia, SC

  • Conducted literature review on spatial segregation and neighboring effects in Charleston neighborhoods.
  • Collected and cleaned economic, social, and demographic data on metropolitan statistical areas.
  • Computed location quotients and ran regression analyses in Stata and R to identify factors driving STEM/knowledge worker agglomeration.
  • Redesigned course materials to improve accessibility in compliance with university standards.

Undergraduate Research Assistant

University of South Carolina — Department of Economics

Jan 2020 – Jan 2021 | Columbia, SC

  • Digitized and organized CDC vital statistics to support analysis of racial disparities in birth outcomes post-hospital desegregation.

Awards & Honors

  • Stephen D. Durham Award (2022) — Top senior statistics student for exceptional academic performance.
  • Phi Beta Kappa Honor Society (2022) — Prestigious academic honor society in liberal arts and sciences.
  • Palmetto Fellows Scholarship (2018–2022) — Competitive South Carolina state scholarship for exemplary academic achievement.
  • Presidential Scholars Award (2018–2022) — Merit-based scholarship awarded to Palmetto Fellows with high standardized test scores.

Technical Skills

  • Languages & Databases: Python, R, SQL (Proficient); Java, Stata, SAS (Familiar)
  • Libraries & Frameworks: tidyverse, NumPy, pandas, matplotlib, PyTorch, Streamlit, Hugging Face Transformers; Familiar with PySpark, Hadoop (Pig, Hive)
  • Developer Tools: Git, Markdown, Google Colab, Jupyter Notebook
  • Visualization & Software: Microsoft Office Suite; Familiar with Tableau, Figma
  • Data Science & ML: Statistical analysis, hypothesis testing, A/B testing, forecasting, prediction, supervised and unsupervised learning (linear/logistic regression, decision trees, KNN, SVM, clustering, neural networks, natural language processing)