Business Development and Project Management • Project documents, grant applications and User Acceptance Testing (UAT) prior to project deliveries• Met with clients for presenting services, documenting project scopes, pricing and schedules• Developed institutional research data policies, engaging executive & mid-management reviewers• Conducted and facilitated risk assessments in various scenarios, technologies and clientsBusiness Process and Data Management/Governance• Completed Data Maturity assessment for ongoing data management projects• Assessed and documented gaps in data governance frameworks• Designed and updated existing business processes and workflows• Created institutional research data management policy posted on public portal and approved by Government of Canada• Completed inventory and review of the research government legislations / regulations, policies and standards to complete the institutional research data policy• Gathered requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases or scenarios, business analysis or business process modeling• Gathered requirements, and used business writing and communication techniques writing grant proposals and Statement of Work (SOW) • Energy reporting, data model, metadata and taxonomy documentationData Analysis• Gas turbine emission (NOx) analysis and Data Modelling• Toe-Heel-Air-Injection (THAI) GHG emission data modelling and reporting• Fugitive methane data capture & reporting using IoT/SCADA System Design, Data Integration

Husky Energy Asset Economics Sensitivity Analytics • Asset portfolio analysis based on economical variables • Sensitivity analysis under different “What-If” conditions and scenarios • Utilizing Data Virtualization capturing data from multiple sourcesReporting Business Analysis • Creating Statements of Work (SOW) including project estimates, costs and scopes • User Acceptance Testing (UAT) prior to project deliveries • Presenting at user-groups; familiarizing clients with the new industry best practices Visualizations & Reporting • Designed analytics and KPIs for business process performance monitoring • Designed data models for integration of systems of records and data lakes / warehousesTechnologies: TIBCO Spotfire/Data Virtualization (DV), SSMS, R Studio

Natural Gas Supply and Demand Forecasting Business Process Design • Created and modelled business processes for annual natural gas supply and demand forecasting • Designed and implemented organizational change management and user training/communications • Created data procedures and business processes in conformance to industry best practices • Defined data procedures and detailed instructions guiding users through the forecasting process • Defined stakeholder Roles and Responsibilities for the business processesTechnologies: SAS Visual Forecasting, MS Visio

Data Management and Enterprise Data Governance Analyst • Held business requirements elicitation workshops and interviews with Alberta Energy and Parks and Environment ministries • Trained stakeholders and employees for data governance implementation and business processes • Designed a multi-ministry data governance program framework for Government of Alberta, Crown Land and Mineral Rights Assurance (CLMRA) program • Defined data governance framework, roles & responsibilities and internal functional processesTechnologies: MS Visio/MS Project

SAP Data Governance and Analytics Consultant • SAP (Finance, Plant Maintenance, Human Resources and Supply) Master Data Management • Created, monitored and optimized SAP Finance master data management processes • Designed data governance processes for 54 SAP master data objects including: - Supply Chain: Material Master, Vendor Master - Plant Maintenance: Equipment Master - Finance: Activity, Allocation and Distribution, Asset Master, Bank Master, Cost Centres, Cost Elements, Customer Master, GL Accounts, Internal Order, Investment Management, Product Code, Profit Centres, Project, WBS, Network and Statistical Key Figures - Human Resources: Functional Area, Job, Organizational Unit, Person and Position • Equipment Master data standards definition and data cleansing initiatives • Cross-domain (FICO – SCM) data procedures formalizing workflows among multiple domains • Monitoring SAP master data procedures performance KPIs and metrics • Established SAP data governance community of practice and negotiated with data stewards regarding their roles and responsibilities for the newly implemented data governance • Provided training and change management for the data governance deployment • Provided sustainment of the implemented SAP master data governance during the transition period • Interviewed business users and gathered requirements designing operational processes • Implemented SAP data governance program below budget, and double of the planned scope • Established organizational change management, regular communications with steering committee and data governance council regarding data matters and initiatives • Established data quality monitoring KPIs and metricsTechnologies: SAP BW/4HANA, TIBCO Spotfire (reporting and monitoring), and MS Visio/Project

Drilling & Well Data Analytics and Governance • Conducted a series of interviews and workshops with engineers, geologists, Real-Time Operations Centres and financial analysts to plan a corporate wide data management system across multiple disciplines and countries to support the business workflows, data embargo laws, and preserve data coherence • Created well data mapping standards and monitored well data quality • Defined data hierarchy to standardize data management procedures • Provided well data status reports, metrics and analysis to decision makers • Worked with various stakeholders for enhancing corporate IT systems toward a comprehensive master data management • Monitoring and improving processes within the drilling operations at real-time operations centreWell Operations - UAT Business Analyst • User Acceptance Testing for Customizations, Data Entry Forms and Picklists during deployment of drilling software to Vietnam and Peru operations • Ensured quality and validity of products meeting the business workflows and data requirementsTechnologies: WellView/SiteView/ProdView, Petrel, ArcGIS, OpenWorks, and PPDM Data Model

Logistics (Construction) Data Migration and Cleansing • Analysed existing business workflow and designed migration and deployment plan • Provided mapping and logic for data migration from historical database • Developed data quality assurance and controls • Performed post migration QA and data validationWell Operations Analytics and Data Quality Assurance • Provided quality assurance for a newly upgraded systems • Customized drilling reports and forms to match business processes • Data modelling and migration between WellView and EDM • Provided consulting services for best practices and daily well operations data entryTechnologies: OpenWells, EDM, WITSML, OpenWire, SQL, and Profile

Gulf of Mexico Well Operations Data Migration • Upgraded Nexen’s Gulf of Mexico mission critical operational data • Defined data governance business processes, Reference Data and workflows and best practices • UI optimization for daily drilling operations • Created and executed QA, KPI and UAT processes • User acceptance testing for 25 custom reports • Analysed and planned processes to create End of Operations reports for electronic archival • Migrated and tested 20 custom reports for End of Operations business process • Designed wellbore schematic reports to meet regulatory requirementsTechnologies: WellView/SiteView/ProdView, Visual Studio (C#)

• Implemented a flexible and customizable business intelligence, reporting and visualization module to produce daily and summary reports using SAP Crystal Reports • Created web-based analytics tools for analysing operations and reporting • Worked as an Advisor to a team of four offshore developers and consultants over a period of two years to guide them building reports to meet upstream and regulatory requirements • Outcome was a set of 50 reports still in useTechnologies: Java, C#, Visual Studio, SQL Server, Oracle DB