Experience

Terakeet

• United States
• Marketing Services
• 300 - 400 Employee

• Data Scientist

  • Jun 2023 - Present

  First staff-level hire on new Data Science team. Primarily working with Large Language Models (LLMs) to automate digital marketing efforts. [Python, LLMs, NLP, SQL, Literature Review & Research]



Nike

• United States
• Retail
• 700 & Above Employee

• Data Scientist

  • Jun 2022 - May 2023

  New York, United States I investigated and quantified digital marketing campaign effectiveness using causal inference, simulated A/B testing, and other statistical modeling tools. I pioneered AI Fairness work in digital marketing by generating and automating robust fairness metrics. I also worked with specialists to ensure that my work upheld privacy and security standards. [PySpark, Python, PyTorch, SQL, AWS EC2, AWS Delta Lake, Databricks]



Zillow

• United States
• Real Estate
• 700 & Above Employee

• Research Fellow

  • Sep 2022 - Dec 2022

  New York, New York, United States I (along with my wonderful team) prototyped a knowledge graph capable of supporting text and image data using deep learning, graph learning, and fine-tuned embeddings. [PyTorch, DeepGraph, GraphSAGE, Natural Language Processing, Cloud Computing]



True Fit

• United States
• Software Development
• 1 - 100 Employee

• Data Analyst

  • Jan 2021 - Jul 2021

  I implemented color filtering and image classification using deep learning for True Fit's ecommerce marketplace, which is now Shoptrue. I left the company to begin graduate school. [PySpark, Python, Tensorflow, SQL, Cloud Computing, Git, Bash]



CapTech

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Data Engineer

  • Aug 2019 - Jan 2021

  Washington D.C. Metro Area I worked as a data engineer and also (co) directed CapTech's 2020 Summer Internship Program, which endured unexpected shifts due to COVID-19. I was named "Best New Consultant" for my contributions. [Python, SQL, Microsoft Azure, Data Warehousing, Business Intelligence]