Oversee financial planning and analysis for Microsoft’s Healthcare and Life Science division in OpEx, supporting the $19.7 billion acquisition of Nuance Communications and driving a comprehensive financial transition plan to facilitate the integration

Nuance Communications – acquired by Microsoft

Supported Digital and Signoff Group & System Verification Group - 2018 to October 2021Supported Custom IC and PCB Group & Digital and Signoff Group - April 2016 to 2017

• Prepared revenue metrics that include actual revenues in various dimensions, rolling forecasts, forecast achievements, and in-depth analysis• Conducted data analysis, reconcile multiple data sources, and monitor growth expectation for key customers based on application assumptions in forecast• Performed in-depth competitive analysis based on sales intelligence in corporate database and companies' financial results• Partnered with IT department to enhance system workflow and improve system functionality• Ad-hoc analysis, reporting, and presentation materials to support decision-making of executive management

• Supported monthly financial close activities including ensuring accuracy of the P&L, generation of journal entries, creation of reports and reconciliation of accounts• Provided weekly headcount report, and monthly operating expenses for managers to review the business results

• Performed reconciliations for 3 banking accounts, promptly reviewed and resolved any discrepancies, and posted general journal entries• Managed general journal entries and processed monthly and year end closing utilizing both US & French GAAP standards• Assisted in optimizing accounting software to support the overall functions within the company• Recorded all general ledger, accounts payable, accounts receivable and payroll• Analyzed P&L & Balance Sheet accounts for discrepancies (Auditing)• Assisted financial controller to re-evaluate internal controls

Consulting Field Projects with Princeton Financial Systems (State Street subsidiary)• Analyzed the customer data to evaluate successful rate for each contract using statistics model and forecasted the revenue