Jigar Patel

Applied defined business rules and quality standards to structure high-volume retail data for downstream reporting. Performed data validation to detect and classify discrepancies, preventing inaccurate records from progressing. Conducted root-cause analysis for recurring data and workflow issues and supported corrective actions. Coordinated with cross-functional teams in an Agile environment to resolve issues and improve operational consistency.

Reconciled payroll records using structured validation checks and supported workflow improvements that increased processing accuracy. Partnered with HR and finance stakeholders to investigate discrepancies and complete recurring payroll tasks within timelines. Documented business workflows, business logic, and SOPs in Jira and Confluence to improve traceability. Managed multiple payroll activities and resolved data discrepancies within SLA windows.

Classified and labeled large volumes of records with a focus on data quality and reliable downstream analysis. Performed root-cause analysis on recurring classification and data-quality problems and implemented corrective measures. Standardized business rules, classification guidelines, and workflow procedures to improve team consistency and reduce retrieval time. Supported knowledge sharing and maintained data integrity using structured quality controls in an Agile environment.

Analyzed a large set of e-commerce orders to assess delivery performance, revenue and customer experience signals. Performed root-cause analysis on delivery delays and built analytical metrics and a risk model to flag orders likely to be delayed. Translated results into structured business recommendations, including expected impact, risk, and ownership. Documented the analytical approach so it could be reproduced by non-technical stakeholders.