Mohit Suthar

- Gathered reporting and KPI requirements from Product Owners, project managers, and engineering stakeholders; translated them into Power BI dashboard improvements, DAX measures, semantic-model changes, and Jira-tracked reporting requirements. - Consolidated Jira, DOORS, test-status CSV, and Excel data using Python and Power Query; standardised source structures, removed duplicate records, applied one-year retention logic, and prepared validated datasets for Power BI reporting. - Built and maintained Power

- Designed task-specific RAG workflows for structured Excel–PDF comparison and historical ticket/document retrieval, defining data scopes, retrieval boundaries, prompt rules, and structured output formats for internal decision-support use cases. - Used REST API-based file-ingestion workflows to load internal Excel, PDF, ticket, and documentation sources into an enterprise RAG environment, preparing controlled knowledge-source sets for retrieval-supported analysis. - Developed a quantitative evaluation frame

- Built and independently delivered a Power BI time-to-market dashboard for 3+ departments by integrating raw operational data, preparing datasets in Power Query, developing DAX-based KPIs, and creating interactive reporting views for progress and delivery-pace tracking. - Developed Power BI KPI dashboards for the quality department, standardising performance monitoring across key quality metrics and improving access to operational reporting for business stakeholders. - Transformed fragmented operational an

- Integrated Microsoft Copilot Studio with Dynamics 365 Business Central to enable natural-language ERP data access - allowing finance and operations staff to query live ERP records in plain language without requiring technical database access or IT intermediary requests. - Designed multi-turn chatbot conversation flows in Copilot Studio and standardised the SharePoint–Dataverse data integration layer - ensuring consistent knowledge retrieval accuracy across all query types and eliminating data mismatches b

- Used SQL Server queries with JOINs, filters, aggregations, and CASE logic to analyse project, product, pricing, and competitor data; prepared reporting datasets and business insights for Business Development stakeholders. - Built Power BI dashboards and Excel-based reporting views to track product performance, project milestones, competitor pricing, and market-analysis findings for management and commercial discussions. - Automated recurring project-timeline and milestone reporting using Excel VBA, reduci