Prince Leebaz Rajkumar

Collect, analyze, and summarize information and trends in Power BI to prepare reports for stakeholders.
Translate stakeholder requirements into reporting deliverables using Power BI.
Develop visual reports, dashboards, and KPI scorecards using Power BI Desktop.
Connect to SQL data sources, import data, and transform data for Business Intelligence.
Utilize analytical thinking skills to model data into informative visuals and reports.
Implement row-level security on data and understand application security layer models in Power BI.
Model data using Power Query and create DAX queries in Power BI Desktop to meet the business requirements.
Develop, publish, and schedule Power BI reports as per business requirements.
Understand business requirements and develop data models accordingly while taking care of resources.
Transform traditional Excel reporting into Power BI reporting.

Prepare New Dashboard and reports in Power Bi based on customer or business requirements.
Maintain existing dashboard and make updates as per the changing requirements
Deliver KPIs based on Monthly sales data.
Train new joiners on the reports as well as in DAX.

Played a vital role as a member of the Production Support team for the Local Market Planning department.
Primarily responsible for efficient data extraction, transformation, and loading processes.
Utilized JCL (Job Control Language) to extract data from the mainframe system accurately and efficiently.
Conducted ETL (Extract, Transform, Load) transformations on data using Abinitio and SQL, ensuring data quality and integrity.
Developed Unix shell scripts to automate the loading of transformed data into Oracle Databases, enhancing efficiency and reducing manual effort.
Validated product and store information across multiple systems, ensuring consistency and accuracy.
Successfully participated in a significant project involving the seamless migration of the Netezza Server without disruptions or data loss.
Assisted in onboarding new team members to the planning tool, facilitating their access, guiding setup, and delivering training on tool functionalities.
Actively contributed to improving customer experience and team collaboration within the teams.

Analyze in-store product activities and trends to predict future sales data.
Manage multiple client inquiries and provide end-to-end solutions related to data for clients such as Coca-Cola, Hershey’s, Mondelez, and P&G.
Host and lead online client meetings to brainstorm and identify root causes and develop short- and long-term action plans to address issues.
Prepare process documents for new scenarios to capture the most feasible methods for issue resolution.
Implemented process automation to reduce workload efforts and increase the quality of deliverables.
Received multiple leadership and client appreciations for consistently delivering high performance.
Assist clients in identifying new business opportunities.

Worked extensively on creating a harmonized set of characteristics for products across different FMCG product segments.
Collaborated closely with cross-functional teams, including product management to define and establish consistent attributes for various product categories.
Developed standardized data templates and guidelines to ensure uniformity in data representation and classification.
Implemented data transformation processes to map and align diverse product characteristics into a harmonized structure.
Conducted rigorous validation of the created datasets to ensure accuracy, completeness, and adherence to established standards.
Collaborated with stakeholders to address any data inconsistencies or gaps, taking necessary corrective actions to maintain data integrity.
Played a crucial role in ensuring that the validated datasets were loaded into the databases accurately and in a timely manner.
Monitored and analyzed data loading processes, promptly addressing any issues or discrepancies that arose during the data loading phase.
Demonstrated a strong attention to detail, analytical mindset, and problem-solving skills in maintaining high data quality standards.