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pawangiri977

Pawan Giri

@pawangiri977

MCA Underwriting , Bank Statement Review Expert,Data Entry Specialist

India
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am an experienced MCA Underwriting Analyst with 4+ years of experience in the US lending market. I specialize in: ✔ Business bank statement review (3–6 months) ✔ Cash flow & ADB analysis ✔ NSF & negative days review ✔ Income calculation & fraud detection ✔ Merchant risk & eligibility assessment I have reviewed hundreds of MCA underwriting files and deliver clear, accurate reports with fast turnaround time. Tools: Excel, Google Sheets Focus: Accuracy, confidentiality, and on-time delivery If you’re a lender, broker, or funding company, I’m ready to support your underwriting needs.... Continua a leggere

Competenze

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pawangiri977
Pawan Giri
offline • 

Consulta i miei servizi

Ricerca web
I will provide USA business leads, clean CSV and remove duplicates
A partire da20 USD / progettoMaggiori dettagli

Esperienza lavorativa

Bank statement review

CapStonePlanet • Full time

Jan 2021 - Dec 2025 • 4 yrs 11 mos

Worked as a Bank Statement Review & MCA Underwriting Analyst for U.S. lending companies. Responsibilities included reviewing 3–6 months of business bank statements, calculating ADB, monthly revenue, NSF counts, negative days, and identifying cash flow trends. Performed bank reconciliation, income analysis, and risk assessment to support underwriting decisions. Prepared clean Excel and Google Sheets reports with high accuracy and quick turnaround time. Regularly handled data entry, validation, and financial analysis tasks while maintaining confidentiality and attention to detail.

Data Entry Specialist

CSPL • Freelance

Jan 2022 - Oct 2025 • 3 yrs 9 mos

Worked as a Data Entry Specialist handling accurate data input, cleanup, and validation tasks. Responsibilities included entering financial and business data into Excel and Google Sheets, verifying information for accuracy, formatting spreadsheets, removing duplicates, and organizing large datasets. Maintained high accuracy, met tight deadlines, and followed confidentiality standards while supporting administrative and financial data projects.