• Spearheaded high-performance GPU prototyping using NVIDIA Jetson devices for real-time analysis in environmental monitoring and urban planning.• Conducted geospatial analysis for Seattle Public Schools using AI/ML to support equity-focused decision-making around school closures.• Developed advanced cross-evaluation techniques to assess large language models and uncover hidden biases within LLMs.

Maximizing Product Growth through Strategic Scaling of Product Data Science.11 FTEs, $6M Budget• Budget and Team Leadership: Managed a $6M OpEx budget, leading a team predominantly composed of lead-level data scientists, with impressive retention. Orchestrated product data science initiatives across 140 Product Managers, 1200 Software Engineers, and 100 UX Researchers, driving collaboration and operational excellence within Product.• Product Development: Delivered upon comprehensive analytics initiatives, including A/B experimentation, in-depth use-case studies, and usage and purchasing propensity analyses, enhancing data-driven decision-making for 2000+ stakeholders and C-Suite.• Product Analytics Expansion: Extended analytics coverage across all customer-facing products, enhancing product strategy and customer experience.• Operational Efficiency: Streamlined operations through strategic implementation of OKRs, resulting in more focused quarterly initiatives and effective business reviews.• Strategic Insights & Impact: Provided key strategic insights through advanced user and account classification models, and deep-dive analyses linking feature/product usage with corporate and enterprise metrics.• Career Pathway Development: Established a comprehensive career development framework for data science professionals, ensuring continuous skill growth and leadership opportunities.

Transforming a Data Product Vision into Operational Success.85 FTEs, $25M Budget• Budget and Team Leadership: Managed a $25M OpEx budget, growing the team by 375% YoY to 85 FTEs with an impressive 4% attrition rate. Oversaw a technology team focused on Procurement, Supply Chain, and Network Planning, serving approximately 5000 internal stakeholders.• Product Management and Innovation: Led the development of key products including a supply chain simulation tool, a geo-spatial prioritization tool, and a risk analysis tool for post-COVID supply chain challenges. Also oversaw the transformation of a unified data warehouse project and received a patent for an ML algorithm enhancing data product capabilities.• Organizational Impact: Established T-Mobile's first-ever data science organization, evolving it into a Center of Excellence (CoE) for the enterprise. Achieved significant cost savings ($10M in 2021, $5M in 2020, $3M in 2019) through operational efficiencies and strategic initiatives.• Strategic Contributions: Received a U.S. patent for an ML approach in data product robustness. Implemented key milestones like Executive Quarterly Business Reviews and established Fully Quantified ROI metrics for data products, enhancing organizational maturity through strategic RFP evaluations and market research.

Led T-Mobile's first data science organization.8 FTEs, $3M Budget• Budget and Team Leadership: Managed a $3M OpEx budget, overseeing an 8-member team (200% growth YoY) with a low 5% attrition rate. Led a diverse group of Data Architects, Engineers, and Scientists as direct reports.• Strategic Integration and Impact: Successfully integrated teams to address high-level analytics challenges in coverage strategy, GIS product development, data virtualization, and in-sourcing analytics needs. This integration not only created new career pathways but also fostered collaboration, significantly boosting output and impact.• Leadership in Data Strategy: Provided guidance to principal-level data architects and engineers, playing a key role in shaping the organizational data strategy. This leadership was instrumental in steering the broader enterprise data and analytics strategy.

Developed, trained and led new Data Science team addressing business operations, procurement, engineering, marketing, sales, customer care, and technology teams. Managed principal-level data architects who managed departmental Data Warehouse. Developed and implemented a data architecture strategy to migrate legacy processes and architecture into refined logical and physical architectures in order to support analytics and data science work across T-Mobile.

Revealing Data Science's Capacity for Operational Transformation.• Innovative Model Development: Developed and deployed a K-Means based network product classification model, optimizing T-Mobile's $3B+ annual OpEx and CapEx spend through strategic prioritization of network investments and decommissions.• Data Product Design and Impact: Engineered a full-stack data product that streamlined site build processes, cutting average site build time from 20 to 12 months. Achieved this by integrating various data sources into a single platform, providing planning teams with crucial insights on opportunities and challenges.

• Merger Project Leadership: Directed several key merger projects between Sprint & ClearWire, focusing on achieving consistent and robust network performance reporting.• Executive Reporting Solutions: Developed a suite of new data and analytics reports, granting executives comprehensive insight into vital network metrics and performance indicators.• Analytics Consolidation and Optimization: Successfully consolidated overlapping reporting and analytics tools from both Sprint and ClearWire. This strategic integration focused on selecting the most effective tools from each, enhancing simplicity and accuracy in reporting.

• Built and operated internal a custom network management system (NMS) for entire data transport network.• SME for network performance, data, and design for fully redundant and diverse transport network.

• Developed custom Network Visualization for Mobile Ad Hoc Networks for US Department of Defense.

• Network Simulation & Modeling, Network Optimization, for fully encrypted data transfer between national labs.