a
adnantheanalyst

Muhammad Adnan

@adnantheanalyst

Financial Data Analyst

Pakistán
Inglés, Urdu, Punjabí
Parte de la información aparece en idioma inglés.
Sobre mí
I'm a Financial Data Analyst from Lahore, Pakistan. For 1.5+ years I've reconciled invoices, payments, credit memos and deductions across 20+ US retail accounts, so I know where money and data go missing. I build reconciliation tools and reports in Excel, Python and SQL that flag unpaid, short-paid, overpaid and duplicate amounts, with a clear reason for every row. My work is public on GitHub: tested projects, sample data only. Send me a few rows of your data and I will tell you honestly whether I can help, before you order. I reply fast and I am used to working US hours.... Lee más

Habilidades

a
adnantheanalyst
Muhammad Adnan
desconectado • 

Revisa mis servicios

Automatizaciones
I will automate your invoice and payment reconciliation in excel or python
DeUSD 45 / proyectoMás información

Experiencia laboral

Easy_Solutionz

Financial Data Analyst

Easy Solutionz • Tiempo completo

Dec 2024 - Present • 1 yr 10 mos

**Financial Data Analyst | Easy Solutionz** **January 2025 – Present** Working as a Financial Data Analyst, handling financial data reconciliation, invoice and payment matching, and reporting for 20+ US retail accounts. **Key Responsibilities:** - Reconcile invoices, payments, debit notes, and credit memos to identify discrepancies and outstanding balances. - Analyze short payments, overpayments, deductions, unpaid invoices, duplicate billing, and unapplied payments. - Prepare and maintain Excel-based reconciliation sheets, control sheets, and financial reports. - Use Excel formulas, PivotTables, and Power Query to organize, validate, and analyze large financial datasets. - Investigate mismatches and support accurate payment application and account reconciliation. - Maintain data accuracy and consistency across multiple retail accounts and financial records. - Identify opportunities to improve reporting workflows and reduce repetitive manual work. **Tools:** Microsoft Excel, Power Query, PivotTables, SQL, Python, and Power BI.