Iris Gu

Engineering Analyst II (2022-2024) | Engineering Analyst III (2024-2025)

I. Machine Learning (ML) Operation & Impact

• Facilitated and contributed to the Engineering Design for the Malware ML model launch and refresh, ensuring operational requirements and policy needs were met for a successful launch and production ramp-up.
• Managed the operation and launch of Malware V4, resulting in the model successfully replacing older versions and increasing the flagging of new, previously undetected malware advertisers by 78% (263 daily vs. 148 baseline).
• Key contributor to the model's performance validation: Documented and tracked significant improvements, including achieving an increased precision for new malware flagging from 0.14 to 0.35 and reducing False Negatives by 60% (2,740 to 1,105).
• Quantified and communicated the business value of the model using BCI/GCI analysis (score of 9.21), effectively translating model performance metrics into business impact for stakeholders.

II. Data Engineering, Signal Development, & Automation

• Identified opportunities and analyzed potential sources for new malvertising signals by conducting deep analysis of multi-dimensional feature sets, utilizing advanced SQL/PLX workflows.
• Built and operationalized data pipelines for targeted, TTP-specific data sweeps, enabling automated and precise enforcement actions against emerging threat vectors.
• Designed and implemented a critical evidence dashboard to centralize and visualize investigative data, successfully reducing median manual investigation time by 18%.

III. Policy Strategy & Incident Response

• Built and operationalized data pipelines and ML workflows (e.g., PLX) for targeted, TTP-specific data sweeps, enabling automated, precise enforcement actions against emerging threat vectors.
• Translated strategic policy goals into measurable system parameters and data schemas, driving the launch of new enforcement mechanisms, such as the policy targeting ads landing page malvertising.
• Led rapid data analysis and triage during high-severity abuse incidents (Scaled Abuse Code Yellow - SACY), providing essential operational support and real-time insights to the ML team for rapid mitigation.
• Assessed and strategically optimized the advertiser onboarding and appeals framework. Increased barriers to entry for malicious actors, including the successful launch of a Business Operation Verification (BOV) process for efficient and accurate malware actor account flagging.

Associate Data Analyst (2020 – 2021) | Data Analyst (2021 – 2022)

I. Product Analytics

• Led analytics and data-driven strategy for Xandr's core Audience & Identity products, including user identification and cross-device tracking technology.
• Conducted and drove the analysis of A/B tests on Xandr's user identification product experimentation, successfully providing data-driven recommendations that improved client campaign efficacy and increased ROI
• Synthesized current business intelligence and industry trend data (focused on user identification and privacy policies) to develop and support strategic recommendations for the product management team.
• Constructed, maintained, and updated specialized business intelligence tools and dashboards to visualize key performance indicators (KPIs) and monitor the health of core user identification products.

II. Project & Stakeholder Management

• Managed project expectations and delivered actionable insights through direct communication with product managers, sales teams, engineering, and executive leadership.
• Documented and presented complex analysis methodology and findings tailored for both highly technical and non-technical executive audiences.