Patrick Ryan Email & Phone Number

New York City, Us

I lead a team of 40+ professionals in driving high-value analytics initiatives, targeting $50M - $100M in business impact. Focus on delivering advanced analytics, AI, and data-driven solutions to accelerate the company’s commercial success and drive its digital transformation, and strengthening the enterprise’s digital capabilities by introducing AI- and ML-driven solutions, improving data integration across systems, and developing the company’s visualization and analytics maturity. Select outcomes and responsibilities include:• Spearheading a high-impact data and analytics strategy designed to capture $50M - $100M in business value by identifying, prioritizing, and implementing key analytics use cases.• Delivered 4 priority analytics use cases and 2 advanced analytics use cases, driving significant operational improvements, and capturing up to $30M in additional revenue.• Leading the migration of all analytics dashboards from Tableau to Power BI, improving data accessibility and decision-making capabilities for commercial, finance, and supply chain teams.• Restructured the digital analytics organization into 4 specialized towers: Data & ML Engineering, Business Intelligence, Data Science & AI, and Data Strategy, growing the team to 25 FTEs and 20 contractors to better align with business goals and to drive innovation.• Established hub-and-spoke analytics operating model, accelerating the digital transformation agenda across the company by enhancing collaboration with key business functions.

New York, New York, Us

New York, New York, Us

I led a diverse world-class engineering organization that designs, builds, and maintains data pipelines, and implements machine learning to advance the company's analytics strategy.I provided direct and ongoing leadership for a team of individual contributors designing, building & maintaining highly scalable, predictable, and modern data pipeline and data science solutions that enable democratization and awareness of data solutions across the company.Select outcomes and responsibilities included:• Successfully scaled the team from 5 to 40 data professionals within a span of 2 years, fostering a culture of excellence and collaboration while meeting the organization's increasing demand for data-driven solutions.• Spearheaded the development of data pipelines to expand point-of-sale data coverage to include key retailers representing $3 billion in global net sales to date, generating improved insights and targeted decision-making for customer development teams.• Partnered with business teams to develop and deploy predictive data models in external environments, unlocking an additional $103 million in growth in Latin America to date.• Increased deployment of data pipelines by 500% annually while continuing support and maintenance of existing pipelines in production.• Led the evaluation and implementation of emerging technologies based on value and fit with the organization’s data science and engineering technology stack and strategic data plan.

Boston, Ma, Us

Managing Director, Data Science & Analytics (2019 – Present) Manager, Data Science & Analytics (2016 – 2018)I led the design of innovative data solutions and monitor the quality of my team’s performance and client deliverables. The projects I oversaw were related to 1) on-premise and cloud computing solutions for data analytics team, 2) self-documenting data science and analytics solutions for clients, and 3) machine learning solutions to forecast economic damages for commercial litigation. I extracted information and relationships from unstructured text and generate data visualizations to explore and explain complex data sets. I also shared subject matter expertise in publications and speaking engagements. Select project outcomes include: ● Cut storage and computing costs on client engagements up to 90% by implementing cloud computing platforms, including Google Cloud and AWS, as well as state-of-the-art machine learning APIs. ● Forecasted ~$25M in future damages using parametric regression analysis to use as leverage in settlement negotiations for an international arbitration involving an overseas parts supplier.● Used unsupervised machine learning algorithms to reconcile vendor names and payments to identify potential payments to suspicious vendors. Automation saved law firm’s client $500,000+ in legal fees.

New York, Ny, Us

My responsibilities centered around focusing and enhancing a newly formed analytics team. Typical projects involved deploying enterprise applications to streamline tracking, analysis, and reporting of data for internal audits and investigations. I built operational dashboards to enhance traditional fraud investigation methods using open-source and third-party software. I also developed Python scripts to access and extract data from database management systems for other analytics professionals. Select contributions include: ● Developed enterprise application to help 20 investigators submit daily updates to their director. This application then compiled updates into weekly progress report for presentation to board of directors. ● Implemented git-based code repository system for version control code and data documentation on all data analytics. Our team was able to more quickly track and implement changes.

New York, Ny, Us

I drove process improvement initiatives to support operations with custom tools and technologies. This involved developing enterprise applications and programming modules to automate data reporting for high-profile civil litigation and regulatory matters.

Washington, Dc, Us

I coordinated with clients and consultants to establish and maintain lines of communication throughout document processing and review life cycles. Over 2 years, I managed data tracking and processing on >40 e-discovery matters related to mortgage-backed securities litigation and regulatory inquiries. This included leading project management for a case bringing in $2M in revenue per month.

New York, New York, Us

Consultant (2011 – 2012)Associate Consultant (2009 – 2011)I managed team of 25 FT and contract employees. My work involved directing case analysts to ensure efficient collection and analysis of data associated with complex corporate actions. I designed and implemented enterprise applications, including Microsoft Access applications and Python modules to process and analyze data related to mandatory and voluntary corporate actions. During my tenure, I served as the Lead Consultant to generate and track chapter 11 voting on some of the highest-profile bankruptcies and reorganization plans during the Great Recession—including The Tribune Company, General Motors, and Lyondell Chemical.

The Honorable Novalyn L. Winfield, U.S.B.J.District of New Jersey

The Honorable Christopher A. Boyko, U.S.D.J.Northern District of Ohio, Eastern Division

Master Of Information & Data Science

Juris Doctor, Law

Bachelor Of Arts, Magna Cum Laude, In English, English