Resume

Hilary Ivy

Technical Competencies

Data Engineering & Architectures

Snowflake, MySQL, JSON, DataBricks, Python (pandas), AWS, GCP, Azure

Data Analysis & Visualization

Tableau, SQL, matplotlib, numpy, SAS, STATA, Looker, Excel/Power BI, R, BigQuery

Geographic Information Systems (GIS)

ArcGIS, QGIS, OSM, OverpassTubro, Ushahidi, Google Earth Engine, CartoDB

Enterprise Resource Planning (ERP & CRM)

Workday, Salesforce, Hubspot, Microsoft Dynamics365

Project Management

MS Project, Slack, Endnote, MS Office Suite, DevOps

Content Creation

Adobe Creative Cloud, YouTube Studio, Picsart, Canva, Instagram, WordPress, Canvas, HTML, CSS

Learning & Information Management

Canvas, Moodle, eClass

Service work

Planning Committee, Village of North Bennington

Feb.2024- Current

Mentor & Mid-Career Committee Member, AnitaB.org

Jun.2020 – Oct.2024

Mentor, She Runs It

Dec. 2020 – Dec.2021

Board of Directors, Standby Task Force

Nov.2014 – Nov.2019

Recent Experience

Community College of Vermont, Bennington, VT

Faculty, Data Analytics, Computer Science, & Geographic Information Systems

Jul. 2022 – Present

Build curriculum and deliver flagship Geospatial Technologies and Data Analytics classes using tools such as ArcGIS, Tableau, Microsoft Excel & PowerBI. Provide instruction on key concepts in Data Strategy & Governance, considerations for Enterprise Data Management (EDM), demonstration of Data ETL, and guidance on gathering requirements for analytic needs.

Generate labs and demonstrate programming and query languages, including HTML, CSS, Python, SQL, and KML assisting students to learn about and build simply websites and application programming interfaces (APIs).
Leverage JupyterLabs, GitHub, Excel, PowerBI, ESRI, Tableau, Google Big Query, Google Earth Engine, and Snowflake to provide hands-on exposure to leading cloud-based analytics and infrastructure platforms
Delivered Workshop Session 1: From the Wild – Review of AI Implementations. Session 2: Uncovering Bias In the Machine: Deconstructing the Opaque Box, Retreat on Exploring Artificial Intelligence, Vermont State Colleges System, August 7th, 2024

Williams College, Williamstown, MA

Business Information Analyst, Office of Information Technology

Oct. 2024 – Present

Lead technical analyst supporting Human Capital Management (HCM) in Workday. Manage business process and security configurations while serving as technical support between Human Resources and the Office of Information Technology.

Configure and test complex multi-stage business processes in Workday, including recruiting, onboarding, job changes, and compensation workflows.
Lead documentation workstream, creating comprehensive process guides and training materials for HR operations.
Partner with HR stakeholders to gather requirements, analyze business needs, and implement solutions for student employment, benefits administration, and workforce planning
Manage testing and deployment of business processes, custom object and reporting updates across development, sandbox, and production environments while ensuring data integrity and security compliance.

Google, Mountain View, CA

Ethical Investigations Analyst, Trust & Safety

Jan. 2019 – Jul. 2022

Founded the Responsible Innovation (RESIN) Infrastructure team driving strategic planning and development of Product Fairness Testing’s Adversarial Architecture. Led 10+ Ethical Investigative Analyst team members, five engineers, and a UX/UI designer through an inclusive design process. Developed baseline workflows, assigned data roles, compiled user journeys, and articulated requirements for Annotation UI

Conducted 40+ ML model ethnographies and mapped AI system architectures (CNN, NLP, GAN, RNN, etc.) to identify vulnerability points and curate adversarial data sets.
Worked with over 100 client product teams across the company’s platforms, products, and user ecosystems when biased constructs or data were identified to design and deploy relevant mitigation strategies prior to launch.
Built data pipelines and normalized artifacts in various formats leveraging internal services (Starburst, Knowledge Graph, LMS, and Image Search) and external APIs (Census, World Bank, Flickr, etc.) to curate adversarial test sets.

Department of Homeland Security

Office of the Inspector, Washington, DC — Senior Data Analyst, GS-13

Aug.2017 – Dec.2018

Serve as lead technical strategist and operational data manager utilizing a critical lens to reduce risk, identify security gaps and tackle vulnerabilities. Provide analytics guidance to Major Fraud and Corruption, Information Technology Audits, and the Special Reviews Group and generate dynamic visualizations to present findings to senior leaders on a multi-agency task force.

Conducted forensic analysis to map geographic hotspots of money laundering activity across 260+ accounts, $425,000+ in fraudulent government deposits and $285,000+ dollars of transaction withdrawals.
Develop target profiles and run graph analysis to link individuals resulting in 11 search and seven seizure warrants, three arrests, one conviction and $588,000+ in total value asset seizures.
Initiated investigative data mining, resulting in the identification of $35 million in federal payments on 48,000+ suspected fraudulent claims associated with 133,000+ estimated identity theft victims.

Federal Emergency Management Agency, Winchester, VA — Program Analyst, GS-11

Jan.20217 – Aug.2017

Conduct complete analyses from beginning to end, including formulating research questions, identifying sources of information and appropriate research methods, collecting and analyzing data, performing quality assurance checks, and presenting results.

Captured Equivalent Human capital cost of an estimated $ 190 million/per year in critical federal data storage and business processing of disaster assistance claims by National Emergency Management Information System (NEMIS).
Provided direct research support to the policy team, including assistance in developing outcome and quality assurance measures for the agency’s Catastrophic Housing Index.
Developed data-driven surveillance applications to identify disaster survivors with housing needs improving early warning and targeting critical assistance forecasts on over one million applications received by FEMA following disaster events

Education

Community College of Vermont, Bennington, VT

Design and Media Studies, Studio Art Certificate

2025

Tulane University, New Orleans, LA

School of Law, Master of Science International, Analytic Methods & Spatial Technology

2012

School of Public Health & Tropical Medicine, Global Health Systems

2010

American University, Washington, DC

School of Government, Communications, Economics, Legal Institutions & Government

2007

Publications, Presentations, Awards

Ivy, H. Lessons Session 1: From the Wild – Review of AI Implementations. Session 2: Uncovering Bias In the Machine: Deconstructing the Opaque Box, Retreat on Exploring Artificial Intelligence, Vermont State Colleges System, August 7th, 2024.
Hanna et al. The Case for Interpretive Techniques in Machine Learning. Fake AI- This Book is an Intervention. Meatspace. 2021
Denton et al. On the Genealogy of Machine Learning Datasets: A Critical History of ImageNet. Vol.8 Iss:2 Big Data & Society. 2021
Co-created the Sensitive Terms Dataset and co-authored the Sensitive Terms Data Card for the Google I/O 2022 Developer conference to publicly launch the Product Fairness Testing for Developers guide.
Hanna et al. Lines of Site. Logic Magazine. Issue 12. Commons. December 20th, 2020
Awarded the 2019 Inspector General’s Honor Award for leading forensic data analysis and geographic visualizations showing human networks engaged in millions of dollars of fraud involving FEMA’s Individuals and Households Program.
Recipient of the 2019 CIGIE Evaluations Award for Excellence for data analysis and observations on the impact of Zero Tolerance Child Separation Policy and 2018 Inspector General’s Award for Cross-Functional Collaboration & Teamwork.