Open to opportunities

Ayushi Parwani

@ayushiparwani

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Mid-level finance professional specializing in financial analysis and modeling.

India

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What I'm looking for

I seek a mid-level finance role where I can apply financial modelling, forecasting and process optimization in a collaborative, growth-focused company that values data-driven decision making.

I am a mid-level finance professional with hands-on experience in financial analysis, reporting, and process optimization. I have supported budgeting and forecasting efforts and delivered variance analysis to identify trends and discrepancies.

During internships and early roles I improved accounts payable processing speed by 20% and reduced budgeting discrepancies by 15%, and I contributed to achieving 90% accuracy in financial forecasting models.

I am skilled with tools including Microsoft Excel, Power BI, SAP, SQL and IBM SPSS, and I apply data-driven insights to improve financial processes and documentation accuracy.

I am a detail-oriented team player with strong communication skills, a commitment to continual learning, and a track record of adapting quickly in fast-paced finance environments.

Experience

Work history, roles, and key accomplishments

Current

Finance Executive

Current

FUNDVICE

Apr 2025 - Present (7 months)

Working as a finance executive handling financial operations, reporting, and analysis while supporting process optimization and cross-functional finance tasks.

Financial Reporting Excel Power BI SAP SQL Financial Operations Communication

Finance Intern

Paytm

Jun 2024 - Sep 2024 (3 months)

Managed accounts receivable/payable and finance paperwork, improved accounts payable processing speed by 20%, and supported process improvements across the finance department.

Accounts Payable Accounts Receivable SAP Excel Financial Reporting Administrative Support Process Improvement Documentation

Financial Analyst Intern

Cognus Technology

Jul 2023 - Jul 2024 (1 year)

Supported financial analysis, built budgeting and forecasting models, and performed variance analysis that improved forecasting accuracy to 90% and reduced budgeting discrepancies by 15%.