Preetham

Financial Analyst with around 4 years of experience delivering actionable insights to support business performance, financial planning, and strategic decision-making. Proven expertise in building financial models, analyzing revenue and cost drivers, and improving forecasting accuracy across multiple business units. Strong background in budgeting, variance analysis, and financial reporting, with hands-on experience managing month-end close processes and ensuring compliance with accounting standards.

Adept at working with large datasets and transforming complex financial information into clear, meaningful insights for stakeholders. Proficient in Advanced Excel, SQL, Python, and Power BI to automate reporting, develop dashboards, and enhance data visibility. Experienced in valuation techniques, investment analysis, and working with ERP systems, with a solid understanding of internal controls and SOX compliance.

Financial Analyst USA - Principal Financial - USA

(2024-06)

• Performed detailed variance analysis and financial modeling to identify key cost drivers and profitability trends, enabling leadership to implement cost optimization strategies that reduced expenses by 12%.
• Developed dynamic financial models including DCF, NPV, IRR, and scenario analysis to evaluate investment opportunities and support strategic capital allocation decisions.
• Controlled month-end and quarter-end close activities, including accruals, reconciliations, and financial reporting, ensuring compliance with GAAP/IFRS standards and improving reporting timelines by 20%.
• Built and automated Tableau dashboards to track KPIs, financial performance, and operational metrics, reducing manual reporting effort by 40% and enhancing executive visibility.
• Partnered with cross-functional teams including finance, operations, and product to deliver data-driven insights, supporting strategic planning and improving decision-making efficiency by 25%.
• Supported SOX compliance, internal controls, and audit processes, ensuring regulatory adherence and reducing audit findings during review cycles.
• Worked with ERP systems including Oracle Financials, SAP FICO, and Workday to extract, validate, and reconcile financial data, improving data consistency and reporting accuracy.

Business Data Analyst - BrownFrame Technologies - India

(2021-01 - 2022-12)

• Led end-to-end requirement gathering by preparing BRDs, FRDs, and SRS documentation, working with business stakeholders to translate requirements into data-driven solutions and reducing rework by 25%.
• Performed detailed data analysis using SQL and Python (Pandas, NumPy) on large datasets to identify trends, gaps, and performance issues, improving operational efficiency by approximately 20%.
• Designed and delivered interactive dashboards using Power BI to track KPIs and business metrics, reducing manual reporting effort by 40% and enabling faster, insight-driven decision-making.
• Conducted cost-benefit and impact analysis to support business initiatives, providing actionable insights that improved planning accuracy and increased project success rates by 18%.
• Developed and optimized complex SQL queries across PostgreSQL environments, improving data retrieval performance by 30% and ensuring accuracy in reporting outputs.
• Managed project tracking, requirement documentation, and status reporting using Jira and Gantt charts, ensuring timely delivery of deliverables and reducing project delays by 15%.
• Applied data cleansing, validation, and transformation techniques to improve data quality, reducing inconsistencies by 25% and increasing reliability of business reporting.

MS - Computer & Information Sciences - Southern University (2024-12) New Orleans, LA

BSc - Computer Data Science & Data Analytical Engineering - Loyola Academy (2022-05) Hyderabad, India