➤ Assisted in setting the vision and direction for presenting product value proposition to current and prospective customers.➤ Partnered closely with GTM teams (Sales, Customer Success, Engineering, Product, and Account Managers) to derive creative ways of analysis, deliver data-driven insights, and identify opportunities for upsell and product optimization.➤ Digested business customer requirements (user stories, use cases) and platform capabilities to derive business value, to identify competitive and commercial contexts, and to calculate return on investment.➤ Created convincing data stories to showcase how our product solutions can support customers in addressing identity verification and risk management efforts holistically.

Overview:Within a newly-formed Data Analytics group serving the needs of customer-facing (Sales, Customer Success, Marketing) and financial teams, this role focused upon customer classification, customer analytics, and value proposition modeling that drove upsell opportunities and promoted the business value of an identity verification SaaS product.Responsibilities:➤ Created convincing data stories to showcase how our product solutions can support customers in addressing identity verification and risk management efforts holistically.➤ Partnered closely with GTM teams (Sales, Customer Success, Engineering, Product, and Account Managers) to derive creative ways of analysis, deliver data-driven insights, and identify opportunities for upsell and product optimization.➤ Proactively identified gaps and process improvement opportunities for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.➤ Performed analytical deep-dives to ensure product output matches specifications, to identify data quality issues, and to ensure bugs are updated and driven to resolution.➤ Analyzed large quantities of data and communicate a deep understanding of customer needs, trends and behavior patterns, and the ways existing and potential product solutions fit those needs.➤ Created tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis.

Overview:TU Global Fraud Solutions (GFS) provides software solutions and fraud strategy consultation that protect online brands through fraud detection and prevention centered around device intelligence, consumer behavioral analytics, threat analysis, and machine learning. The Global Customer Analytics team resided within the Data Science & Analytics organization, and its function directly supported analytics for GFS.Responsibilities:➤ Planned, designed, deployed, and spearheaded development of rapid project solutions that were scalable, repeatable, and reusable by multiple analysts with varying skill levels and domain knowledge.➤ Established a clear strategy and drove concrete deliverables that motivated and supported a team of analysts and data scientists with different focus areas.➤ Defined, measured, and communicated the overall value proposition of Global Fraud Solution (GFS) products to existing customers and strategic prospects along with recommendations for solution optimization and applying thought leadership on industry trends.➤ Built and maintained a clearly-defined ROI model that monetizes uplift and supports contract renewals / engagement.➤ Consulted with key business leaders and cross-functional stakeholders to understand goals and deliver comprehensive analytics (reports, analytics, and presentations) to diagnose issues, identify risks, and lead conversations that drive strategy and shape decision making.➤ Proactively developed and implemented database standards for analytics in an AWS cloud-computing environment, for processing semi-structured JSON message logs, and for normalizing data across varied sources.➤ Skillfully applied Kanban workflow management in an agile development environment to ensure visibility across teams while maximizing efficiency and revenue opportunities.➤ Developed insightful and thought-provoking interactive dashboards, visualizations, and reports to drive insights.

➤ Built and led a team of 3-5 analysts and data scientists responsible for ensuring data was central to all Customer Success processes and all Sales engagement deliverables.➤ Established standards, policies, and performance guidelines of an analytics team with varying skill levels and areas of expertise.➤ Created a training program for new hire analysts that provided a traceable and measurable ramp-up to productivity, to comprehending and querying complex data models.➤ Defined strategy to measure team performance, developed KPIs to monitor projects, growth, and resource availability.➤ Provided thought leadership, increased team visibility, and managed relationships with Sales, Customer Success, and Product departments of our fraud insights.➤ Researched emerging fraud trends to remain adept in identifying similar patterns and new data points within consortium messages and stored JSON messages.➤ Supported internal and external customers for questions related to value proposition and ROI inquiries.➤ Incorporated ongoing education of industry trends and fraud risks into team goals and individual side projects to facilitate new ideas and thought leadership.➤ Educated decision-makers across all levels and areas of the business on the long-term value of analytics.➤ Collaborated across functions and regions in a highly-matrixed environment.

➤ Created a library of 25+ professional data services, 90+ scripts, and 100+ supporting visualizations that support internal teams to strengthen their client relationships and help clients protect their assets from complex and evolving fraud techniques.➤ Designed a standardized, reusable, and flexible data model for calculating a client’s monetary ROI based on the unique uplift their chosen fraud solution contributed to increasing fraud catch and reducing operational costs.➤ Provided data-driven fraud insights to internal stakeholders and external corporate clients of Global Fraud Solution (GFS) device intelligence product suite.➤ Defined, measured, and communicated the overall value proposition of GFS products to existing clients and to strategic prospects.➤ Developed reporting for clients and senior management to summarize key fraud trends and drivers to inform strategy and decision-making.➤ Proactively evaluated data for trends, data combinations, etc. that could lead to new ways of assisting clients to maximize their fraud catch or gain operational efficiencies in their fraud management processes.➤ Wrote complex queries to efficiently extract, parse, and manipulate large amounts of data collected from billions of daily online digital interactions.➤ Used advanced SQL and data science techniques to identify business rules optimization opportunities and recommendations for solution optimization and applying thought leadership on industry trends.➤ Redesigned an existing IP Risk Analysis service to streamline data preparation and delivery from 5-7 days across multiple teams to a single resource completing the entire process in 3 hours.

➤ Developed operational, analytical, and multidimensional reports for business, risk management, regulatory management, or bank funds transfers, using Oracle SQL, LogiXML, SQL*Plus, and PL-SQL.➤ Proactively created queries and data transfer processes to ensure optimal performance of ETL and data models.➤ Debugged, troubleshot, and fixed data or system related issues as they arose.➤ Performed ad-hoc analysis with SQL queries and SQL-based tools to uncover fraudulent activity of customers and vendors.➤ Identified patterns of behavior that served as healthy predictors of financial fraud and recommended strategic solutions.➤ Automated scheduling and delivery of reports to domestic/international email recipients and SFTP/GPG encrypted sites.➤ Created SQL scripts to create and populate data tables in operational data store for optimal reporting and customization using data-driven parameters.➤ Worked collaboratively with cross-functional partners to guide and answer questions using data in all areas of business.➤ Owned data in addition to analytics infrastructure to drive business intelligence strategies and initiatives.➤ Drove this data-centric organization through continued development, helping organization solve its biggest challenges.

➤ Analyzed business processes of external clients in litigation to aid in management of legal cases from collection to trial.➤ Identified best practices to expedite the branding of documents within court deadlines.➤ Organized collection of computer and mobile hardware for forensic analysis with data tools. ➤ Managed collection of volumes of electronic documents to identify relevant material and evidence to present in court.➤ Automated results of the legal review, while implementing data solutions to document culling with Relativity© and Equivio©.

➤ Drove the automation of the production of documents for Administrative Records cases, using complex SQL processes.➤ Gathered requirements, created documentation, and designed a SQL-based analysis approach to removing duplicates.➤ Proactively created custom SQL processes and procedures, VBA tools in MS Access/Excel, and metadata collection tools.➤ Successfully converted, normalized, and migrated data from client databases, text, and image formats into and out of exclusive eDiscovery data management platform using extensive VB, SQL, and DOS scripting and analysis techniques.➤ Efficiently merged standard data output from industry-recognized deduplication software including Equivio©, IPRO©, and Relativity© for ad-hoc analysis, as well as created batch jobs to expedite extensive DOS commands.