Haritha Vaishnava
ML Data Associate
Talent
HyderabadMember since October 6, 2026
Accounts Payable / Accounts Receivable FundamentalsFinance Operations & Transaction ProcessingBilling & Invoice ProcessingReconciliation & Discrepancy InvestigationData Accuracy & Quality AssuranceSLA / TAT / Productivity ManagementProcess Compliance & SOP AdherenceEscalation & Issue Resolution
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Accounts Payable / Accounts Receivable FundamentalsFinance Operations & Transaction ProcessingBilling & Invoice ProcessingReconciliation & Discrepancy InvestigationData Accuracy & Quality Assurance
About
B.Com graduate with 9 years of overall professional experience, including experience at Amazon in data operations, process execution, quality, customer-focused workflows, escalation handling and SLA-driven delivery. Strong attention to detail, accuracy, problem-solving and stakeholder communication. Seeking to transition into Accounts Payable, Accounts Receivable, Finance Operations, Billing, Order-to-Cash or Procure-to-Pay roles.
Experience
ML Data Associate - Amazon - Hyderabad
(2022-01)
- Execute high-volume data and process workflows with strong focus on accuracy, quality, productivity and defined turnaround times.
- Investigate process exceptions and customer-focused issues, identify discrepancies, and support timely resolution in line with SOPs.
- Work with internal stakeholders and cross-functional teams to clarify requirements, resolve escalations and meet business targets.
- Maintain accurate records and validate data before completion, demonstrating strong attention to detail and process compliance.
- Handle multiple priorities within strict deadlines while consistently meeting quality and productivity expectations.
- Support process-improvement activities by identifying recurring issues, gaps and opportunities to reduce errors and improve workflow efficiency.
- Use structured investigation and analytical thinking to review information, identify root causes and make appropriate process decisions.
- Communicate clearly with stakeholders and maintain professional customer-focused interactions during issue resolution.
Education
Bachelor of Commerce (B.Com) (2018)
Skills
ML Data Associate