Priya Bellad

Improved work-life balance by taking 1 year 9 months career break

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• for family relocation and early motherhood. Completed Le Wagon 23-week full-time AI and Data Analytics Bootcamp, gaining hands-on experience in Python, SQL, and ML. Built an ML-based anomaly detection system to automatically identify unusual patterns, errors, and performance issues in application logs.

Leveraged data-driven insights to proactively detect anomalies and potential failures, integrating them into the incident management workflow.

• Supported CI/CD pipelines and deployment processes, ensuring smooth software delivery while analyzing logs and telemetry data to optimize performance.

• Worked in a cross-functional setting with application developers, testers, business partners & product owners on corrective actions or viable workarounds to resolve issues on day-to-day basis within Service Level Agreement (SLAs)

• Engineered comprehensive documentation on Confluence for 10+ workflow designs, ensuring clarity and accessibility; This initiative led to a 30% reduction in onboarding time for new team members and enhanced knowledge sharing

• Developed and maintained scalable Java-based backend systems for enterprise applications Improved application performance by 30% by optimizing APIs and database queries Collaborated with QA and business teams to ensure seamless

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• deployments and user satisfaction Gained hands-on experience in Agile workflows, unit testing, and version control systems