Diksha Ahuja

Client: Microsoft

• Working with telemetry data, which involves creating and running scripts in visual studio to get raw data and make it metadata to prepare reports and dashboards for stakeholders.
• Checking and modifying scripts as and when required to maintain data quality, stewardship
• Preparing power BI Reports, using DAX expressions for metric calculations, Power query for data profiling, different schemas in data modelling with these metadata for stakeholders to make accurate, data driven decisions.
• Implemented GDPR-compliant handling of personal data, strengthening privacy controls and audit readiness
• Automated PowerPoint presentations with getting data automatically without manual interventions and saving 15 hrs. per month.
• Performing quality checks, anomaly detection on time-to-time basis to ensure accurate data is shared across all departments.
• Working with engineering teams to avoid deduplication, reducing errors.
• Define data quality standards, procedures. Document data quality processes and contribute to data governance documentation, including data dictionaries and metadata management.
• Working with different business units to understand data and business objectives to make sure the requirement is met.

• Working with technical support consumer data, which involves creating different reports and dashboards according to different KPIs.
• Working directly with multiple Service Delivery Managers and their heads to provide accurate reports and required data
• Used SQL and Python for data ETL processes to get required data and then used the same in Power BI reports.
• Revising targets for the teams on yearly basis by analyzing previous data for the Part delivery metrics, customer satisfaction, Remote Resolution.
• Prepared monthly analytical packages for management and incentives reports for different teams using advanced Excel.
• Used statistical methods, like Pareto, to analyze data and generate useful business reports.
• Shared key findings in leadership meetings to help guide planning and decision-making.

• Led a team to identify resource inefficiencies, reducing production delays by 15%, and increasing team throughput by 18%.
• Created and managed daily engineering reports to track case updates and follow-ups, ensuring a 98% on-time completion rate.
• Shared daily case volume summaries, including the number of cases handled, pending queues, team performance metrics, CSAT/DSAT scores, and dissatisfied case analysis with delivery managers and regional heads, to drive follow-up actions and improve support outcomes.

• Improved incident resolution time by 18% by proactively identifying root causes and implementing corrective actions.
• Provided troubleshooting support for servers (ML, DL, and BL), storage (MSA, SAN, and NAS), operating systems (Windows, Linux, VMware), Virtual Connect modules, OneView, and InfoSight software.
• Remotely accessed virtual machines to troubleshoot, monitor, and deploy applications.