Launched Development, Data, and Analytics department including Self-Serve Business Intelligence, Data Engineering, and Machine Learning/Data Science practice areas. Recruited, managed, and directed local and international staff. Created first transactional databases, data warehouse, and data lake. Produced monthly statement generation processes. Oversaw collection and analysis of data to support decisions and business outcomes. Identified areas for improvement through monitoring and reporting on key performance metrics. Ensured compliance with relevant laws, regulations, and ethical standards.Key Achievements:• Imported data files from 140+ payors, billions of rows; developed Power Bi data models, and created data management applications.• Instrumental in discovery, negotiation, and release of company's first customer-facing app (external partnership).• Created, developed, and executed data-driven strategic initiatives, guiding executive team through processes. Optimized customer acquisition and retention, streamlined business processes, and identified new revenue streams.

Managed, mentored, and recruited local and international dev/ops team. Implemented main web application security using OWASP best practices. Conceptualized, built, documented, and tested operational processes for music user and rights holder interactions. Established projects using Agile and Kanban principles with Taiga and Leankit.Key Achievements:Conceptualized, architected, and built technologies behind NPREX, using C#, Python, Azure Cloud SQL Server, Azure application services - reviewed business use cases of NPREX's conceptual data model, with a focus on simplicity and performance.Created one of the first music rights blockchain databases.Kept expenses within budget, with routine cost analysis on SaaS used by NPREX.Architected, implemented, and Tested redundancy and disaster recovery plan.Managed, mentored, and recruited local and international dev/ops team. Implemented main web application security using OWASP best practices. Conceptualized, built, documented, and tested operational processes for music user and rights holder interactions. Established projects using Agile and Kanban principles with Taiga and Leankit.Key Achievements:• Conceptualized, architected, and built technologies behind NPREX, using C#, Python, Azure Cloud SQL Server, Azure application services - reviewed business use cases of NPREX's conceptual data model, with a focus on simplicity and performance.• Created one of the first music rights blockchain databases.• Kept expenses within budget, with routine cost analysis on SaaS used by NPREX.• Architected, implemented, and Tested redundancy and disaster recovery plan.

Develops software, systems, and technology to help artists recognize content and collect licensing fees.Created an entity resolution system that used a combination of probabilistic and deterministic methods built with python, and Oracle.Proof of Concept (POC) of rapid CRUD systems developed with Oracle Application Express for technically neglected business areas in the organization.Conceptualized, designed and created a system to give Sales/Licensing leads based on social media posts and internet reviews. Technology consisted of web scraping, social media sites API calls, automated data classification, durable infrastructure architecture, strategy and implementation to avoid IP blacklisting, efficient and fast data architecture with robust storage, and a notification system of leads graded with classifications of new, old, hot, dead, etc…,Devised proprietary affiliate quadrant projecting future value of clientele in relation to comparable affiliates by predicting song's performance decay from parsing performance data and applying multiple algorithms such as linear regression, k-means, and naive Bayes in SPSS.

Performed migration of mainframe data to Netezza data warehouse appliance to enable fast access of legacy datapoints enabling re-tool of data models delivering increased speed in all reporting.Led and Supervised the roll out Oracle database upgrades for both Oracle RAC.Led implementation of enterprise business intelligence solution, using Cognos 10.* for mobile and web reporting, SPSS for advanced analytic intelligence, Netezza for data warehousing, and business glossary for drill down lineage.Instrumental to multimillion-dollar negotiations with IBM to facilitate BI solution for BMI.Chair of yearlong selection of business intelligence providers to deliver business intelligence solution.Oversee performance management, including employee reviews, disciplinary action, and commendations, delivering individualized learning plans that are reassessed and adjusted biannually.Allocate all budgets for Data Services and Application Development departments.Prime liaison for music library companies such as APM, Megatrax, Groove Addicts, and 615 Music.Steer daily incorporation and organization of data submitted by strategic partners, including ShazamPioneered and led the first BMI business intelligence team as well as Landmark Digital's inaugural Data Services team, including department strategy, migration and revitalization of legacy systems to Cognos, enabling improved data accessibility and self-reporting.Drafted 6 month, annual, and 18-month financial plans for business intelligence aligned with communication and execution plans.Grew communication and acceptance module with tactical aspect to compliment BI tools, employing custom metrics, user interviews, and automated surveys.Developed hybrid algorithmic Entity Resolution application, compiling data from numerous online, crowd-sourced, disparate databases, scoring accuracy of each match, and outputting metrics directly to the user.

Guided Recognition Services group, tracking radio broadcasts using recognition technology invented by Shazam, partnering with developers to fuse technology with company components.Developed generic classes making all database calls asynchronous. The Classes were used in all BMI custom applications.Lead developer and architect of Heuristic Analysis Processor, employing C# and Oracle to compress 10-second audio data samples into complete tracks based on the timing of sample captured. Tracks are then separated into recognized and unrecognized categories for additional processing.Designed audio compression algorithm in C# that complimented audio recognition technology written in C++.Created several .net web and windows applications that were used internally to manage the metadata and audio of the tens of millions of music tracks that were used in the automated recognition system.Ported the legacy Shazam algorithm - a memory intensive C++ algorithm - to a manageable C# algorithm which shortened the recognition sample size from 5 seconds to 2 seconds.

Promoted to Senior Architect within the initial six months of tenure, mentoring three Senior and two Junior Developers while leading application architecture supporting 10,000+ active users.Contracted to revitalize architecture of legacy applications while regulating platform, using emerging design and OOP methodology to improve the development cycle and dramatically streamline maintenance time of existing applications.Spearheaded development projects with .NET/Web team, leading all application architecture, including data modeling, planning, delegation, and progress to ensure achievement of milestones.Oversaw security platform, including all intranet and internet applications, coordinating unified security architecture while enabling the use of the latest security techniques to prevent and detect intrusion.Built Relative Caregiver system with ASP.NET in C# using PL/SQL with an Oracle 9i Database, which tracked endangered children prior to placement in DCS custody.

* Principle Architect for migration of legacy Cold Fusion/Visual Basic 6 enterprise application to n-tiered, object oriented solution utilizing C#.* Database Administrator and Architect for 25 and 32-gigabyte SQL 2000 databases.* Presided over primary application maintenance, including 17,000+ files for more than 45,000 users.* Established SQL stored procedures, views, managing tables with relational structures and appropriate index placement, as well as approving T-SQL code from junior and senior programmers.* Fostered and fortified strategic relationships with various data vendors and developed custom interfaces for safe data transfer.* Research and Development Lead for Background Screening Group, devising and testing experimental solutions before deployment to production environment. * Key contributor to development of Web and Windows service suites, automating criminal searches to vendors while simultaneously mitigating legacy processes written in Visual Basic 6.