Seun O. Email & Phone Number

Atlanta, Ga, Us

Atlanta, Ga, Us

Wilmington, Delaware, Us

Us

Fort Lauderdale, Fl, Us

Indianapolis, Indiana, Us

Dallas, Tx, Us

• Leading data design and data validation efforts using R and SAS for marketing analytics including customer segmentation, test and learn advanced analytics initiatives• Designing and developing statistical models such as Ordinary Least Squares, Principal Components Regression, and Partial Least Squares (with R) to identify, explain and predict key marketing metrics (e.g. brand, advertising tactics, and drivers)• Performing data standardization, transformation, and missing data imputation with the Pandas library in Python as part of pre-modeling data preparation• Developing and executing SQL scripts in Teradata and Aster database for subscriber activation and deactivation datasets for marketing mix modeling, multi-touch attribution and market tests• Coordinating data quality validation of diverse marketing datasets (mass media, e-commerce, direct marketing, social, etc.) in line with the data quality operationalization goals of the National Marketing Organization• Validating pre-modeling data using R to isolate spikes and dips in media and sales activities, further investigate and report on them• Providing direction and coordination to consultants and vendors with respect to the review and validation of market mix data ingestion architecture and processing pipelines within the Teradata / Aster Analytic data warehouse environments• Leading industry data management framework adoption efforts (e.g. DMBOK and DCAM) in the development and execution of a controlled environment for data access, movement, and processing for media analytics data assets

Worldwide, Oo

• Facilitating customer master data object design sessions involving business and IT stakeholders as part of a broader enterprise data management transformation program• Designing and executing master data management and governance documentation, processes and workflows in order to sustain effective enterprise data management effort• Creating data profiles of customer data sources in order to get a general sense of the quality of the dataset • Validating critical customer master data element utilizing business rules obtained from business and IT stakeholders • Creating data quality reports showing data quality metrics / dimensions for each critical data element• Facilitating discussions around the selection of an acceptable data quality threshold

Creve Coeur, Missouri, Us

• Coordinated domain and enterprise business glossary workshop sessions involving business/functional, IT and data governance stakeholders as part of broader master data management and enterprise healthcare information management implementations• Collaborated with domain experts in documenting current state processes, identifying process gaps and designing future state processes leveraging MS Visio and BPMN 2.0 standards • Facilitated discussions with data governance solution vendors (Collibra/Informatica) as part of efforts involved in positioning enterprise data governance program for effective business alignment. • Documented business domain glossary terms and data dictionary elements in Collibra Data Governance Center.

Dublin 2, Ie

Data Governance and Quality Architect; Business and Systems Integration• Responsible for collaborating with different business units and IT to manage data as an asset and to ensure that data is trusted and fit-for-purposeData Quality Architect; Fortune 500 Agri-Business Company • Designed and implemented a data quality improvement process architecture including processes for exploratory data analysis (EDA), monitoring and reporting• Created data quality profiles and issue management and reporting of customer data (using SQL and Oracle Enterprise Data Quality) in order to support a Salesforce.com CRM implementation• Created complex data models with SQL Developer for customer data quality implementations Data Governance Lead; Fortune 500 Retailer client• Assessed and designed Data Governance framework, operating model and processes for managing data across the business and IT organizations• Made recommendation to business and IT leadership concerning Data Governance technological enablement using tools such as Informatica, IBM and Collibra DGC• Coordinated Collibra DGC product demonstration between the vendor and the clientData Governance Consultant; Fortune 500 Networking Company• Collaborated with Global Business Services teams and stewards to standardize their critical Data Governance processes • Gathered and defined requirements from the Global Business Services teams in order to define standard Data Governance processes and make recommendations • Employed leading process management practices in establishing effective Data Governance processes, policies and standards in order to enable an operational Data Governance environment.• Created business / data models using Activiti and BPMN 2.0

San Mateo, California, Us

• Responsible for assessing current state metadata architecture and providing recommendations concerning future state leading metadata management practices• Elicited key requirements from key stakeholders representing business and technology operating units in order to discover, capture, and document business, user, functional and non-functional requirements of a managed Metadata environment (MME)• Developed standards, rules, best practices and procedures relating to the capture, integration and sharing of enterprise data• Facilitated the certification and ownership of enterprise Metadata assets including, business, technical, process and operational Metadata• Provided Data Governance monitoring for data management projects, including portfolio and holdings master, security master, and product data access

Charlotte, Nc, Us

At SunTrust, the data governance program is managed under the following categories:1. Master and Reference Data Management :• Technological Solutions: Informatica MDM Solution; Microsoft Master Data Services. • I provide master and reference data modeling expertise by determining those top-level, non-volatile entities (such as, customers, markets and accounts), creating appropriate relationships between these entities in order to have the ultimate or golden source of truth for these data assets. 2. Meta Data Management: • Technological Solutions: DBMS, EME, Ab Initio Metadata Hub.• As metadata steward for the Wholesale Banking line of business, I provide metadata management services for business partners on three main fronts: 1. gleaning effective business context from their data assets stored in databases, warehouses, mainframe systems, and data appliances (network storages); 2. provide a repository for relevant business glossaries for business terms, metrics and reports; 3. provide a tool for source-to-target data traceability and lineages through dependency and impact analysis.3. Data quality assurance program:• Technology solutions: Ab Initio ACE/BRE, SAS Data Management Studio • I provide root-cause analysis and relevant data remediation techniques for inaccurate data. • Enforcement of data quality assurance and control measures. • Develop key performance indicators for measuring data quality effectiveness and improvement. 4. Other areas of work include: Change management and Data Asset management.

The University System of Georgia under the strategic direction of the Board of Regents is charged with building strategic information technology infrastructure in support of the State's long and medium term goals for educational achievement at all levels (particularly at the higher educational level: colleges and universities). USG at present provides strategic IT system infrastructural design, development, implementation and support for the thirty-three colleges and universities making up Georgia's university systems. Presently I support the organizational core strategic aims by: • Architecting and Building agile data warehouse systems used for the tracking of educational enrollment, student performance, and financial information system. • Building target and subject-specific cubes used as a basis for reporting and performance analytics; and integrating all relevant cubes for the purposes of obtaining an overall and end-to-end comparative performance view of the organization.• Collaborating with business authors and subject-matter experts in the fine-tuning and customization of reporting requirements. • Collaborating with DBA's, other DW domain experts, Architects, Software Developers, ETL resources, and QA professional in the building and deployment of production-ready, mission-critical business analytical systems in line with the strategic and tactical requirements of the business and user departments.• Exploring newer and sophisticated technological systems and platforms which have the potential of improving the overall standard of analytical delivery--including computational statistics and visual analytics.

 High-level requirement gathering for the business intelligence, data analytics and enterprise performance management systems. This will include an examination of present technical infrastructure and recommendation for acquisition and/or upgrade of technical infrastructure in order to provide effective support for the proposed dimensional data architecture.  Design, development and implementation of OLAP cubes (involving dimension and transactional data schematic architecture) for reporting, planning and performance management related activities. Design and modeling of logical and physical data models. Extraction, transformation and loading (ETL) of transactional data from Relational Online Transactional Systems (particularly Database Management Systems) to Data Warehouse and Multi-Dimensional Database Systems. Collaborating with Quality Assurance teams during User Acceptance and Integration Testing. High level business analytics life cycle management.

Piscataway, Nj, Us

 Performed extensive PL/SQL programming for reporting and business analytics. Developed technical infrastructure designs, data mappings, flows and report dissemination mechanisms by architecting Data Warehouses and Marts.  Made use of SQL Server Integration Services for data integration and cleaning as a pre-cursor to real analytical work done in SQL Server Analytical Services environment.

 Designed financial strategy models (‘what-ifs’ scenarios) using advanced features of Microsoft Excel.  Researched and developed content for monthly economic reports to be used for investment strategy positions.  Performed shareholder value assessment for prospective organizations marked as investment targets. Designed new training materials and methods for the business development team

Master Of Science - Ms, Analytics

Master Of Science - Ms, Computational Social Science

Bu Summer, Oracle Database 10G

Certificate In Statistics With R (Coursera), Statistics

Data Management Certificate, Data Modeling/Warehousing And Database Administration

Professional, Ibm Cognos Planning 8.3 Analyst Modelling Building

M.S I.T, Information Technology

B.Sc, Economics

Machine Learning Specialization (Coursera), Machine Learning

Product Management