William Hash

Overview

Staff Data Scientist, Etsy

Staff Data Scientist with a proven track record at Etsy, Gemini, and ENGINE, leveraging Python, SQL, and machine learning to drive innovative product strategies. Adept at implementing effective solutions to improve security and reduce fraud loss.

I graduated from Tulane University in May, 2019 with a Bachelor of Science (BS) in Mathematics and Bachelor of Science in Management (BSM) in Finance, with a minor in Marketing.

I am passionate about analyzing large amounts of data and building statistical models (including implementing machine learning techniques) with programming languages such as R, SQL, and Python to drive actionable business decisions.

Education

Tulane University

Bachelor of Science

Aug 2014 - May 2019

School of Science and Engineering | Major: Mathematics
A.B. Freeman School of Business | Major: Finance | Minor: Marketing

Horizons School of Technology

Software Engineering Bootcamp

May 2018 - Aug 2018

Full-stack development: JavaScript, jQuery, Node.js, Express, React.js, MongoDB
Front-end design: HTML, CSS, Semantic UI, Modal UI
Back-end functionality: Server-side rendering, database management

iXperience Summer Abroad

Data Science Bootcamp

May 2016 - Jul 2016

Data Analysis, Linear and Logistic Regression, Machine Learning
API Integration: Facebook, Twitter, Yelp | Automated Data Scraping
Visualization: Tableau, ggPlot, Plotly, Shiny Dashboards

Work Experience

Staff Data Scientist

Etsy

Oct 2025 - Current

Senior Data Scientist

Etsy

Jan 2023 - Oct 2025

Led key Risk initiatives, developing new non-financial fraud north star metrics and end-to-end risk program metrics
Developed new fraud loss forecasting models, increasing early warning time by 60% and accuracy of final projections by 30%
Uncovered account security gaps, leading to the creation of new product designs that have reduced ATO prevalence and loss by over 50%

Senior Data Scientist

Gemini

Aug 2021 - Dec 2023

Used ML techniques to generate new fraud strategies in card and PayPal deposit systems, resulting in over 70% reduction in fraud losses YoY
Headed Device Intelligence team to integrate new vendor data sources, built preventative measures that stopped 60% of attempted account takeovers in 3 months
Ran A/B testing and subsequent analysis on ACH depositing methods to optimize blocking logic, leading to 30% reduction in returns

Senior Associate Data Scientist

ENGINE Insights

Sep 2020 - Aug 2021

Built advanced Machine Learning models in Python using online behavioral data to identify target audiences 25% more precisely than leading segment suppliers
Developed in-production Python script utilizing respondent-level data, business data, and datetime data to accurately assess performance of client advertisements
Created PowerBI dashboard to help internal Data team better track and understand incoming data flows from partners

Associate Data Scientist

ENGINE Insights

Jul 2019 - Sep 2020

Utilized Key Driver Analyses and Relative Importance Regression in R to help clients maximize profit
Implemented statistical techniques including Conjoint Analysis and Max Diff to help clients understand optimal product mix
Became key Python coder, running internal trainings for Hierarchical Clustering and advanced visualizations

Data Science/Analyst Intern

Sawyer Studios

May 2017 - Jul 2017

Extracted data on client marketing projects using SQL
Created interactive Shiny Dashboards for visualizing client campaign performance in R
Built linear and logistic regression models in R to enhance campaign impact

Vice President of Membership

Alpha Kappa Psi | Pi Chi Chapter

Aug 2016 - May 2017

Organized and ran the recruitment and interview process for 230 applicants over two semesters
Designed and implemented techniques for increasing membership participation, retention and recruitment
Served as head of the Chapter's Committee of Integrity

Senior Business Manager

The Tulane Hullabaloo Newspaper

May 2016 - May 2017

Managed a team of eight business staff members to raise $3,000 per week to keep the self-funded newspaper independent
Oversaw and wrote for both semester-special magazines that created $1,000+ profits for the organization

Marketing/Media Relations Intern

Greater New Orleans Sports Foundation

Sep 2015 - Dec 2015

Developed the marketing plan for R+L Carriers New Orleans Bowl with fellow interns
Assisted with game-day operations and set up, and updated the company website weekly