- Co-Developed the new handbook for “Using Mobile Data for Transportation and Commuting Statistics”- Member of two subgroups for Mobile Data and Synthetic Data- Speaker at various events and awareness sessions conducted by United Nations

As an Enterprise Data Architect in Technology Strategy and Governance Sector, responsibilities include• Lead Data Architecture practice through establishing the data management program and initiatives• Establish design, guidelines and requirements of Enterprise Information Architecture (EIA)and ensure that critical information assets modeled as part of any project are represented in the EIA. • Determine overall modeling standards, guidelines, best practices and approved modeling techniques. • Establish metadata management, data catalogs, data standards, and best practices for Master Data Management• Develop Data Governance, standards, roadmap, and architecture decisions • Develop standards, guidelines, processes and expertise to consistently address recurring strategic enterprise master data issues such as data convergence, data standards and data integration/synchronization• Define data strategy, policies, controls and programs to ensure that the enterprise data is accurate, complete, secure and reliable• Develop and ensure compliance with data architecture principles and standards for the various systems and components based on design patterns• Lead the development of future enterprise data architecture• Establish metrics for tracking and measuring the value of data architecture initiatives. For example, measuring model reuse, impact on project costs or improved data consistency across diverse initiatives

As a Lead Management Consultant in Digital and Innovation practice, responsibilities include• Helping client leverage digital technologies and advanced data analytics supporting their business strategy• Implementation of Big data and Analytics project• Responsible for growing KPMG's D&I practice• Coaching and Mentoring KPMG associates on advanced analytics technologies• Architecture for next-gen platform• Building Speech to Text models

As a part of the Architecture team, responsibilities includes• Responsible for designing the architecture vision and build the Next Gen Data Analytics Platform for Mercator• Design, Build and maintain the overall "Data Lake" , in addition to integration interfaces needed to extract, transform and load (ETL) data from the appropriate sources• Design the overall cloud solution in Amazon AWS for the data analytics platform.• Design hybrid deployment model to support both cloud and on-premise solution• Collect functional data analytics requirements, while analyzing existing deployments, and making recommendations about optimal infrastructure• Responsible for modeling the Customer Analytics Platform to define the 360° customer view of all the loyalty members of the host airline• Support internal teams and consultants with the ETL process to ensure data is delivered properly. Design data integration workflows to combine disparate data into meaningful information• Work closely with internal and external data science teams to understand data models and enable them in data exploration, fast prototyping (including supervised and unsupervised learning approaches) and improving performance• Prototype to production• Provide guidance on best practices for scalable data processing• Communicate data requirements and dependencies with stakeholders, while also dimensioning resource and hardware requirements of production systems• Data analysis and data mining to drive knowledge discovery • Dashboarding and reporting to define and document metrics & KPI's• Creating complex dashboards using Tableau 10 and Microsoft Power BI

- Business Intelligence, Data Warehousing Architect, Business Analysis, BI Analytics,- Data Warehouse design and performance tuning- ETL development- SQL, PL/SQL and T-SQL programming- Semantic layer design and report creation- Multidimensional modeling (OLAP)- Requirements gathering, solution design

- Providing consultancy for database migration/consolidation methodology.- Provide data architecture and database design expertise.- Provide consultation in Mission Critical Problems in the area of Data architecture.- Prepare Data Architecture standards and Best Practices.

- SQL and PL/SQL coding.- Stored Procedure/Package/Function/Trigger Development.- Technical Documentation.- Onsite - Offshore co-ordination.- Client Interaction.

As a Lead of the Architecture team, responsibilities include:• Lead the development of scalable data architecture for all of the BI data assets, including operational data stores and the Enterprise Data Warehouse (EDW).• Leading the development in line with legislative requirements and the implementation of data governance policies and practices within to protect them as an operating entity.• Lead the design and subsequent management of a centralized BI center of excellence, ensuring alignment with the overall strategy and quality standards.• Oversee the development of Source-to-Target Mappings for data flowing into the BI Platform using ETL tool frameworks.• Implement a Data Quality discipline for transactional and multi-dimensional reporting, across all responsible systems, to ensure confidence when analyzing BI data to drive business decisions as well as ensuring overall alignment.• Participate in the root cause, problem and solution analysis of business intelligence and IT data management solutions post-implementation to ensure high performance• Collaborates with the Head of PMO to review project performance and identify opportunities for improvement in data management, integration and duplication

Assisted the client in the foundation of Technical infrastructure, creating integrated staging architecture to collect data from multiple source, data profiling, source data analysis, create data mapping document, create conceptual and logical data model for the Data Mart, creating common data definitions for the top data concepts.

Responsible for interviewing business users, document technical requirements, provide leadership in creating the overall system architecture, identify the various elements and classify their dependencies, create conceptual and logical data model, conducting model walkthrough