anujose Jose

Worked with daily sales, stock, and POS data to maintain accurate inventory levels and reduce discrepancies during busy trading periods.​Analysed customer queries and purchasing patterns on the shop floor to support better product placement and service quality.​Ensured compliance with store processes and health and safety standards while consistently meeting performance and customer‑service targets.

Performed end‑to‑end ETL on CRM and sales datasets, improving data consistency and reliability for real‑time dashboards and downstream reporting.​​Built Tableau dashboards for revenue, retention, and engagement KPIs, reducing manual reporting time and improving visibility of commercial performance.​​Implemented SQL‑based data validation on customer lifecycle data, reducing inconsistencies and increasing accuracy of reference and transactional datasets.​​Used Python (Pandas, NumPy) for data cleaning, feature preparation, and anomaly detection to support churn and retention analytics.​​Conducted EDA to identify customer patterns and contributed insights that informed engagement strategies and operational KPIs.​​Standardised automated reporting templates and documentation to streamline weekly executive reviews and recurring BI reports.

Performed end-to-end ETL processes on structured CRM and sales datasets, ensuring high data quality for real-time reporting.
Built interactive Tableau dashboards visualizing revenue trends, retention metrics, and engagement KPIs, reducing manual reporting time by 40%.
Implemented SQL-based data validation checks that decreased data inconsistencies by 18% across customer lifecycle datasets.
Applied Python (Pandas, NumPy) for data cleaning, anomaly detection, and feature preparation for analytical models.
Conducted EDA to identify patterns in churn and retention, contributing to a 12% improvement in customer engagement strategies.
Created automated reporting templates to streamline weekly executive reviews.
Presented data insights to stakeholders using clear, concise storytelling tailored to non-technical leadership.

Led QA and data validation initiatives for ERP systems handling large-scale engineering, geotechnical, and projectmonitoring datasets.
Designed and executed functional, regression, and integration testing across data-heavy reporting and analytics modules.
Developed Selenium automation scripts integrated into Azure DevOps CI/CD pipelines, reducing regression cycles by 35%.
Performed SQL-driven data accuracy checks on KPI dashboards and reporting pipelines, improving release accuracy by 30%.
Collaborated with data, product, and engineering teams to refine acceptance criteria and enhance analytical reporting workflows.
Produced quality metrics and dashboards enabling data-driven go/no-go release decisions.
Mentored junior QA engineers on ETL testing, SQL validation, and automation best practices.

Led QA and data validation initiatives for ERP systems handling large-scale engineering, geotechnical, and project monitoring datasets, Designed and executed functional, regression, and integration testing across data-heavy reporting and analytics modules, Developed Selenium automation scripts integrated into Azure DevOps CI/CD pipelines, reducing regression cycles by 35%, Performed SQL-driven data accuracy checks on KPI dashboards and reporting pipelines, improving release accuracy by 30%, Collaborated with data, product, and engineering teams to refine acceptance criteria and enhance analytical reporting workflows, Produced quality metrics and dashboards enabling data-driven go/no-go release decisions, Mentored junior QA engineers on ETL testing, SQL validation, and automation best practices

Executed end-to-end testing across finance, supply chain, and logistics modules used for analytics and operational reporting.
Automated smoke tests using Selenium WebDriver, increasing test coverage by 25%.
Conducted SQL validation for transactional and inventory data to support accurate dashboarding and MIS reporting.
Improved defect resolution time by 20% through structured root cause analysis.
Supported UAT cycles with business teams ensuring readiness of analytics workflows before deployment.

Tested finance, supply chain, and logistics modules feeding operational and MIS dashboards, ensuring integrity of KPIs and performance metrics.​​Automated smoke tests using Selenium and supported faster, more reliable releases for reporting functionality.​​Performed SQL validation on transactional and inventory data to support accurate management reporting.

Performed functional, workflow, and data migration testing across healthcare ERP modules.
Validated large volumes of patient, billing, and insurance data for accuracy and regulatory compliance.
Identified data discrepancies and improved healthcare workflow accuracy by 18% through targeted testing and RCA.
Executed SQL-based backend data checks to validate data flow between integrated hospital systems.
Created reusable regression test suites supporting consistent release quality.

Performed functional and data migration testing across healthcare ERP modules with high‑volume patient, billing, and insurance data.​​Validated large datasets and identified data discrepancies, improving workflow and reporting accuracy.​​Executed SQL‑based backend checks to ensure correct data flow between hospital systems and reporting layers.