• Develop a logic to bulk load data from Oracle Exadata to Snowflake.
• Implement SnapLogic integration to consume data from multiple sources and perform incremental loading in Snowflake.
• Build Snowflake data pipelines and establish a batch process for regular data loading.
• Establish a connection between Snowflake and Tableau for seamless data visualization.
• Develop interactive reports and schedule automated reporting in Power BI.

• Creating a data architecture in Azure to automate data extraction process
• Multiple forecast techniques using coupon parameters such as face value, duration, days in market of the coupon
• Transformation of ML prediction to data structures that can be consumed by PowerBI

• Replace the existing solution to eliminate manual interventions.
• Transitioned to a new process for streamlined part planning.
• Improved collaboration with seamless relay and handoff across multiple users.
• customized solutions tailored to organization-specific workflows.
• Enhanced control to prevent unauthorized data manipulation
  Integrated Oracle data synchronization with external data sources.

• Customized solutions for organization-specific purchase order (PO) changes and communication workflows.
• Real-time PO updates and changes exchanged seamlessly between vendors and buyers.
• Role-based access controls to accommodate different user types.
• Seamless login experience with Single Sign-On (SSO) for organizational users.
• Message exchange service to be established between buyers and vendors.
• Strong emphasis on data security and protection.

• Develop a standalone solar calculator for the United Kingdom which proves to be touch point that automatically redirects the user to a country-based calculator as per their location.
• The calculator should allow sales representatives to calculate the estimated system size and savings when speaking to prospects during calls.
• It should also facilitate the client’s marketing team to create campaigns to educate homeowners about switching to solar and generate leads.
• It should be capable of understanding the system size and the roof space required to offset the users’ electricity bills and potential savings per month

Forecasting Accuracy:

• Need for precise and timely financial forecasting to drive strategic decisions.
• Requirement to handle complex what-if scenarios for better planning.

Employee Data Management:

• Efficient tracking of employee data including headcount, salaries, and performance metrics. And Integration with HR systems to streamline data flow and reduce redundancy.

Enhanced Functionality

• Advanced planning, budgeting, and forecasting capabilities.
• Predictive analytics and scenario modelling.

Improved Integration

• Seamless integration with Oracle Cloud services and third-party applications.
• Streamlined data flow across various business functions.

Cloud Advantages

• Scalability and flexibility of cloud infrastructure.
• Reduced IT overhead and improved system performance.

• Automatically extract the data from digital & scanned invoices.
• Perform 2,3 WAY PO matching for PO based invoice.
• Capture exceptions and notify.
• Process AP Invoice touchless in Oracle EBS.
• Approval routing of the invoices.
• Reporting and exception logging

• Touchless Processing of customers cash advice in Oracle ebs.
• Verification through invoice & delivery number in AR Cash registers.
• Reconcile bank transactions in Oracle EBS.
• Match & create cash receipt in Oracle EBS.
• Bank Fees adjustments.
• Reporting and exception logging.

• Quarterly user access review.
• Access sync from multiple applications such as Oracle EBS, AD, Licensing Apps, CPQ Apps etc..
• Manager and Business process owner review.
• Revenue recognition reconciliations.
• Expense Audit reconciliations.
• Reports and dashboards

• Achieve high level of automation through digital workforce.
• Centralized management for all automation initiative.
• Visiblity to Executive team for ROI.
• Organization automation effort accelaration.

• ‌Process Identification and assessment.
• Identify automation opportunities across departments.
• RPA  Onboarding ,Access management and Segregation of Duties setup.
• Bot Sizing requirements.
• RPA Architecture Security Assessment.
• Business Process automation architecting, Automation and Support

• ‌Simplify and Standardize Request Management.
• Expand beyond IT to the entire enterprise.
• Streamline workflows and processes.
• Centralize request handling on one platform.
• Standardize communication and updates.
• Use criteria to prioritize requests.
• Leverage analytics for decision-making.
• Regularly review and optimize processes.

• Optimize app portfolio spend.
• Improve operational efficiency.
• Mitigate financial risks.

CRM Application used by agents to take calls from customers and do the following:​

• Create cases
• ​Create Tasks and activities to downstream systems.
• Update customer demographics​.
• Take payments from customer​.
• Generate reports

• ‌Seamless integration across various systems using the Integration Hub.
• Session resets automation with Virtual Agent to ensure quick reconnection to workplace tools.
• Address high volumes of incidents efficiently to  minimize delays in diagnosis and resolution.

CRM Application used by agents to take calls from customers and do the following:​

• Create cases
• ​Create Tasks and activities to downstream systems.
• Update customer demographics​.
• Take payments from customer​.
• Generate reports

CRM Application used by agents to take calls from customers and do the following:​

• Create cases.
• ​Create Tasks and activities to downstream systems​.
• Update customer demographics​.
• Take payments from customer.
• ​Generate reports

• ‌Multiple custom Email Templates to be migrated to ensure seamless transition.
• Building Landing Pages to conduct marketing campaigns using SFMC for all the associated campaigns and email templates.
• Creating journeys in SFMC to implement the workflows from HubSpot.
• Automating Filtered Data extension refresh in SFMC to ensure newly added records are automatically added to the filtered data extension