Kushaj Badgoyya

• Built and maintained 6+ Power BI dashboards tracking KPIs, cost utilization, and operational performance
trends across multiple business units, enabling weekly data-driven reviews by senior leadership.
• Automated recurring MIS reports and data validation workflows using Python and SQL, reducing manual
effort and cutting reporting turnaround by 40%, while eliminating a class of manual input errors.
• Delivered business planning support through forecasting, variance analysis, and profitability analysis,
directly informing quarterly resource allocation and headcount decisions.
• Ensured data accuracy, consistency, and integrity across reporting systems; implemented validation checks
that prevented reconciliation discrepancies and improved data quality across pipelines.
• Collaborated with cross-functional stakeholders to gather reporting requirements, translating operational
needs into dashboard KPIs and automated workflows — improving timeliness of deliverables.
• Identified opportunities to improve data processes and reporting workflows through structured operational
reviews, producing recommendations that eliminated duplicated reporting effort across two teams.
• Built models and cost-driver analyses to support feasibility studies and business case submissions to
leadership.

• Designed and maintained Power BI MIS dashboards for revenue, margin, and KPI monitoring across
business units, replacing manual Excel and ad-hoc reporting and reducing consolidation time by ~30%.
• Delivered ratio analysis, trend analysis, and profitability tracking that surfaced performance gaps across
product lines; escalated data-driven recommendations directly to management.
• Centralized data flows from Oracle, Azure, and operational systems into a unified reporting framework,
improving data quality and consistency and eliminating reconciliation discrepancies.
• Recommended and implemented tools and validation processes to enhance data quality and efficiency
across financial reporting pipelines, strengthening internal controls.
• Owned UAT and post-implementation validation for two analytics and reporting system upgrades, ensuring
zero data integrity issues on go-live.

• Optimized API-driven backend workflows, improving process throughput and reducing system latency
across internal operations tools.
• Wrote unit tests that improved system reliability and reduced regression incidents during deployment
cycles.

• Executed QA testing for security-focused banking software, developing test cases and resolving bugs prior
to client release.
• Documented internal applications and processes to support operational knowledge transfer and
onboarding.