A highly accurate manpower cost projection model was developed for the BFSI sector, with a focus on precise data entry and analysis, achieving a 99.9% accuracy rate. The model received significant praise from top management and was expanded organization-wide following a review by the group CFO, streamlining workforce planning.
Data analytics played a key role in leading the seamless transition of the Latin America geography into the BFS, valued at 75 million USD. Despite language and legal challenges, the transition was executed flawlessly, earning recognition from the geography CFO.
A comprehensive unit fact sheet was created, summarizing key financial data, including Revenue, Income Statements, and Cash Flow. The fact sheet, built from accurate data entry and analysis, was praised by the group CEO for providing clear insights into the unit's health.
Expertise in IFRS (ACCA UK) and US GAAP ensures revenue data accuracy before quarterly closures, with figures 99% aligned with expectations in the initial cut. Advanced data entry and analysis tools such as MS Office, Power BI, and statistical techniques were utilized to conduct variance analysis and support MIS and Analytics leadership within the BFSI unit.
A seasoned accounting and finance professional with expertise in financial reporting, revenue accounting, and cost optimization. Proficient in both IFRS and US GAAP principles, ensuring accuracy and compliance. Strong background in MIS management and RFP evaluations, derived from over 13 years of experience with a leading multinational corporation.
Key Skills:
Tools: MS Office 365, Google Sheets, Power BI, QuickBooks
Domains: BFSI, Retail