Luke Singh Email & Phone Number

Auckland, New Zealand

Auckland, New Zealand

Managed and synthesized detailed home loan data to support financial decision-making and risk evaluation. Meticulously converted raw data into digestible summaries that are dispatched to customers, ensuring clarity and service excellence. -Extract and interpret home loan data from internal systems to craft clear summaries -Design and develop customer-friendly summary letters for complex loan information -Ensure accuracy and clarity in communication, tailored to customer understanding -Streamline the information delivery process by converting data into narrative form -Contribute to positive customer experience through informative and timely correspondence

Key Responsibilities:SQL ETL Development: Design, develop, and maintain robust SQL-based ETL processes to extract data from multiple sources, transform it into meaningful formats, and load it into appropriate data models for analysis.Data Analysis: Collaborate with cross-functional teams to understand business requirements and identify opportunities for data-driven insights. Analyze large datasets using SQL queries to derive actionable recommendations for improving supply chain and transport optimization.Power BI Reporting: Create visually compelling and interactive dashboards and reports using Power BI. Transform complex data into meaningful visualizations and develop self-service reporting solutions that enable stakeholders to make informed decisions.Performance Monitoring: Develop and implement metrics, KPIs, and performance indicators to monitor supply chain and transport optimization initiatives. Track and analyze key trends, patterns, and anomalies to identify areas for improvement and optimize operational efficiencies.Data Quality Assurance: Ensure the accuracy, integrity, and reliability of data used for analysis and reporting. Perform data validation, cleansing, and transformation processes to maintain data quality standards.Collaborative Partnership: Collaborate with cross-functional teams, including supply chain, logistics, and operations, to understand their data needs and provide analytical support. Act as a trusted advisor and proactively identify opportunities for utilizing data-driven insights to drive business growth and operational efficiency.Continuous Improvement: Stay updated with the latest industry trends, tools, and best practices related to business intelligence, supply chain, and transport optimization. Propose and implement process improvements, automation, and innovative solutions to enhance data analysis and reporting capabilities.

New Zealand

Acted as an expert in supporting local users, working closely with our IT and globalsupport teams to manage release cycles and support the integration with othersystems. - Excelled in Oracle ERP, handling projects, receivable ledgers, payables, and generalaccounting- Defined processes for month end and other key milestones with a finance leadershipteam

New Zealand

Planned tasks in order to achieve objectives, supervised staff. Diagnosed errors, approved dispatch when order was correct. Performed healthy and safety checks. Calculated costs, managed projects and budget with quotations.

New Zealand

• Auditing: Inspect material quality and identify errors or defects in products. Monitor and review products on a daily basis. Evaluate product records and verify with coexisting records. Supervise people and products on dispatch and monitor to validate products are received in the optimal location. • Process Information: Extracted data from audits and compiled data into excel spreadsheet. Managed Tolas to verify information. Validated data in order for products to be dispatched. Calculated audit records. Accessed surveyed results to verify given data and to add changes. • Problem solving: Organized locations for dedication and allocated location to products. Resolved conflicts regarding missing stock by investing on previous locations and by planning an approach to determine a suitable location.

Graduate Diploma In Computer And Information Sciences, Data Science

Bachelor'S Degree, Mechanical Engineering