Senior Qa Manager
Current- End-to-end ownership for QA, Scrum, and Internal Delivery of the BIRD Analytics platform and QA Sign-off authority for Agile Delivery of two major releases per annum and one minor release per quarter. Core responsibilities include - Individual contributor and team management roles in Test and Bug life cycle adherence using Test Methodologies and Cloud deployments in AWS, Azure, Google, IBM, and OVH.- Testing ML forecasting models AutoML, Time Series Models (ARIMA/SARIMA), Regression Models (XGBoost, Random Forests), Categorical Values testing through Decision Trees, NLP search - Prioritize, collaborate, and track critical issues, ensuring closure for release readiness and product quality. - Communicate and suggest QA risk mitigation strategies to internal stakeholders for proactive quality management.- Maintain backlog, align with roadmap, and document issues, and workarounds in release notes diligently.- Enhance regression, monitor hotfixes; increase coverage, deploy, and verify builds iteratively.- As an influential mentor, championed shift-left methodology, reducing costs, and enhancing quality. The QA team is now adept at aligning client needs with technology testing.- Accountability for Metrics including, publish quality, product certification, and feature traceability.- Collaborated with Product and Engineering, on requirements, test coverage, and estimates.- Scrum Master responsibilities for Agile Development Team.About ProductBIRD Analytics is an AI-powered data analytics platform for industries like Supply Chain, Retail, Insurance, Government, and Smart Manufacturing. It employs advanced ML models to integrate data from various sources, including databases, real-time streams, IoT devices, and wearables. The platform provides real-time insights through model-driven dashboards featuring 66 visualizations, promoting informed decision-making. Explore more at https://birdanalytics.ai/.