Raviteja Dogiparthi

Financial Analyst With 7 Years Experience in Audit, Analytics, Accounting and Tax| Ex - Big4 | Master’s in Business Analytics (HULT)

Role
Financial Analyst at Apriva Payments
Location
Phoenix, AZ, US
LinkedIn followers
500 followers
Finance & AccountingView LinkedIn profile

About Raviteja Dogiparthi

Accomplished finance professional with a robust background in managing the full cycle of…

Experience

  1. Financial Analyst

    Apriva Payments

    Oct 2025 — Present · Phoenix, AZ, US

    Utilized SQL and Python to extract, clean, and analyze large-scale financial datasets, identifying key trends, risks, and opportunities to support strategic decision-making.Develop and maintain financial forecasting, valuation, and scenario models in Advanced Excel and enhance their accuracy using Python-based automation.Apply machine learning algorithms to design predictive and prescriptive models for investment analysis and revenue forecasting.Manage structured financial data through SQL databases and process unstructured data using Python libraries to ensure high-quality reporting and insights.Automate recurring financial, AR/AP, and management reporting using Python scripts, Power Query, and Excel VBA, improving reporting speed and data reliability.Design and implement interactive dashboards and performance trackers in Tableau, Power BI, and R to visualize KPIs, cash flow trends, and AR/AP metrics.Integrate SQL-based data pipelines and Excel financial models into budgeting, forecasting, and financial planning workflows to streamline decision support for management.Perform predictive modeling and trend analysis for revenue, operating expenses, and cash flow, supporting strategic business and investment decisions.Monitor and reconcile Accounts Receivable and Accounts Payable data to ensure accuracy in aging reports, collections forecasting, vendor payments, and working capital analysis.Collaborate with finance, accounting, and FP & A teams to enhance month-end close, variance analysis, and cash management processes through data-driven insights.

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