1. Leading data cleaning and preprocessing efforts within the project, ensuring the integrity and reliability of the datasets utilized for analysis.2. Developing interactive data visualizations using tools like Tableau or Power BI to effectively communicate key insights and trends to project stakeholders.3. Leveraging SQL queries and Python/R scripts to extract, transform, and load data from various sources, including databases and unstructured data repositories, to support project objectives.4. Designing and implementing customized dashboards to track project KPIs and performance metrics, enabling stakeholders to monitor progress and make data-driven decisions in real-time.5. Establishing data governance protocols and conducting rigorous quality assurance checks to ensure the accuracy, consistency, and compliance of project data with industry standards and regulations.6. Collaborating closely with project teams and stakeholders to understand requirements, define analytical objectives, and deliver actionable insights that drive project success.7. Conducting in-depth performance analysis of project initiatives and processes to identify areas for improvement and optimization, driving efficiencies and maximizing project impact.8. Generating comprehensive reports and ad-hoc analyses that highlight key findings, trends, and recommendations, empowering project stakeholders to make informed decisions and achieve project goals effectively.

1. Lead real-time data processing using GSFS for proactive decision-making on the shop floor.2. Utilized GSFS for large-scale production data analysis and optimization.3. Managed data integration and ETL processes in GSFS for accurate data integration.4. Developed real-time dashboards and visualizations in GSFS for KPI monitoring.5. Used GSFS insights for continuous improvement in lean manufacturing and process enhancements.6. Utilized R and ggplot2 for sophisticated data visualizations, SSIS for ETL workflows, Tableau forinteractive dashboards, Power BI for visualizations, and Agile/Scrum for project management anditerative development.

1. Managed Jira confluence and Snow syncing, while monitoring Service Now for incidents and servicerequests.2. Developed an understanding of change requests to communicate with senior developers effectively.3. Handled less impacted incidents (P3, P4) and managed their development process.4. Generated reports in Microsoft Excel for specific commodities (e.g., iPhone, iPad, pencil, Watch),extracting data from SQL Server.5. Utilized tools and languages such as Out Systems, SQL Server, Service Now, Jira confluence, Kanban board, and Lifetime.