• Compiled and analyzed daily, weekly, and monthly sales reports using Excel, providing key insights into product performance, seasonal trends, and inventory turnover rates for management decision-making.• Leveraged historical sales data with SQL and Python for forecasting future demand, optimizing stock levels and ensuring product availability, supporting data-driven decisions on promotions and inventory replenishment.• Conducted customer data analysis using Tableau and R to track demographics and purchasing behavior, contributing to targeted marketing strategies, improved product placement, and enhancing customer segmentation.• Identified inefficiencies in stock management and checkout processes by analyzing transaction data through SQL queries and Excel dashboards, recommending process improvements that led to reduced waiting times and increased operational efficiency.• Managed and optimized product ordering using inventory management systems and predictive models developed with Python, maintaining optimal inventory levels, minimizing stockouts, and reducing excess inventory.• Provided actionable business recommendations through data visualization tools like Power BI, helping management optimize promotions and pricing strategies based on data-driven insights.

• Led data extraction, transformation, and analysis of license procurement and usage data across 185 Sony Operating Companies globally, utilizing tools such as Power BI, Python, and Excel.• Conducted data mining and trend analysis on Microsoft O365 license allocation, leveraging Python, Scala, and Spark to identify patterns and optimize procurement processes.• Utilized Azure Machine Learning to build predictive models that forecast license demand, improving cost-efficiency and resource allocation for global operations.• Analyzed large datasets using distributed data frameworks such as Hadoop and Spark, optimizing the procurement and allocation of licenses based on global demand.• Created interactive dashboards and reports using Power BI, facilitating real-time insights and data-driven decision-making for senior management.• Facilitated the Change Advisory Board (CAB), ensuring compliance and collaboration across cross-functional teams through effective data-driven communication strategies.• Managed data-related projects, maintaining the Change Logs, Project Charter, and RACI Matrix to ensure the secure and compliant administration of O365 access.• Conducted statistical analysis to measure the efficiency of license procurement and usage strategies, identifying opportunities for improvement in cost management and resource distribution.• Collaborated with global teams to ensure accurate, data-driven oversight of administrative access to O365, prioritizing security while handling sensitive employee data.• Improved data quality by integrating ITIL and Lean Six Sigma/Six Sigma methodologies.

• Conducted data mining and data cleaning operations on large datasets related to incident, change, and problem management for National Australia Bank.• Analyzed service-level agreement (SLA) data, identifying patterns and trends to optimize performance across wholesale and retail sectors using tools such as SQL, Excel, and Power BI.• Performed statistical analysis and regression analysis to determine key performance metrics related to SLA breaches, root cause analysis, and escalations.• Managed data-driven reporting via ServiceNow, integrating reports with Tableau to create interactive dashboards for senior management to improve decision-making.• Leveraged machine learning techniques to predict escalation trends and service performance, enabling proactive resource allocation.• Utilized Git and GitHub for version control and collaboration on incident, problem and change management projects.• Provided data-driven support for banking applications such as Jira, Siebel, and Primavera, improving workflow efficiency.• Supported data migration and transformation during the shift to remote work, utilizing Hadoop, Hive, and Spark for large-scale data processing, particularly for COVID-related infrastructure challenges.• Executed statistical hypothesis testing to validate service improvement strategies and identify statistically significant results in problem management initiatives.• Integrated NoSQL databases into incident reporting workflows, optimizing performance and flexibility for large-scale unstructured data handling.• Collaborated with cross-functional teams in an Agile environment, contributing to data analytics projects focused on cloud computing, IoT, and financial technologies while keeping ITIL and Lean Sigma/Six Sigma principles in mind.