Supra Sri

Financial Analyst with 4 years of experience delivering data-driven insights across financial planning, forecasting, and business intelligence functions in multi-million-dollar environments. Demonstrated expertise in building scalable financial models, automating reporting pipelines, and deploying interactive dashboards using SQL, Power BI (DAX, M Language), Tableau, Python (Pandas, NumPy), VBA, and SAP FICO. Proven track record in cost optimization, KPI tracking, variance analysis, and P&L management across diverse business units.

Adept at translating complex financial data into executive-level narratives that accelerate strategic decisions. Experienced in audit preparation, SOX compliance, and general ledger reconciliation with near-perfect accuracy.

Financial Analyst at Prozech (2025-12 – Present)

• Engineered a SQL-based automated data pipeline consolidating financial records across 5 client portfolios, cutting monthly close time by 22% and eliminating 18 hours of manual reconciliation per cycle.
• Developed 4 Power BI dashboards leveraging DAX measures and M Language transformations to track real-time P&L, cash flow, and operational KPIs for senior leadership, replacing 3 legacy static reports.
• Constructed rolling 12-month budget forecasting models in Excel (VBA, Power Query) for a $250M+ revenue portfolio, achieving 94% forecast accuracy and reducing planning cycle time by 3 business days.
• Performed root cause variance analysis on $40M+ in monthly operating expenditures, surfacing cost optimization opportunities that reduced client operational expenses by 8–12% annually.
• Automated GL reconciliation workflows for 50+ accounts using VBA macros, improving reconciliation accuracy to 99.8% and accelerating audit preparation timelines by 3 days ahead of schedule.
• Executed SAP FICO-driven year-end close processes for $250M+ in annual revenues, coordinating with cross-functional teams to meet all regulatory deadlines with zero compliance exceptions.
• Built competitive benchmarking analysis across 6 industry peers using FactSet and Capital IQ data, delivering pricing strategy insights that contributed to a 2% improvement in margin positioning.
• Delivered 20+ ad-hoc financial analyses and ROI assessments for C-level stakeholders, incorporating scenario modeling and sensitivity analysis to guide capital allocation decisions.

Financial Analyst at Anvizon (2021-05 – 2023-12)

• Architected a centralized financial reporting framework in Power BI with DAX-calculated KPIs across 8 business units managing a $100M+ operating budget, providing real-time spend visibility to executive stakeholders.
• Designed and deployed 10 interactive Power BI dashboards with M Language ETL transformations, integrating data from Oracle ERP and SQL Server sources to consolidate 500+ monthly transactions into unified views.
• Built 15+ advanced financial models in Excel and SQL covering scenario planning, sensitivity analysis, and three-statement projections, reducing manual data entry by 50% through workflow automation.
• Conducted P&L analysis across 12 revenue streams, identifying 3 underperforming segments and recommending restructuring initiatives that improved overall profitability by 12% within two quarters.
• Applied Python (Pandas, NumPy) to automate financial data extraction and transformation from multiple source systems, reducing report generation time from 6 hours to under 45 minutes per cycle.
• Improved quarterly forecast accuracy to 94% by implementing rolling-average and regression-based models in Excel and SAS, decreasing annual forecast variance by $180K.
• Produced ROI and cost-benefit analyses for 12 capital investment projects totaling $8M+, with 95% of recommendations approved at the board level, directly informing multi-year CapEx planning.

Master of Science in Data Analytic – Clark University (2024-01 – 2025-12)