Extract call transcripts and metadata from Call-Miner systems with the internalAPI. Integrate data sources to ensure seamless flow of information for analysis.Manage the on-premises call-transcripts-analysis datastore to store analysed results securely. Ensure data security and integrity to prevent unauthorized access or tampering.Analyse categorized transcripts to identify trends and patterns in customer intents and agent actions. Generate reports and visualizations to communicate key findings and insights to stakeholders.Continuously evaluate and refine data analysis techniques and methodologies to enhance the effectiveness and efficiency of call-transcript analytics. Stay updated on industry best practices and emerging technologies to drive innovation and improvement.Collaborate with cross-functional teams, including system architects, developers, and stakeholders, to understand business requirements and align analysis efforts with project objectives. Communicate findings and recommendations clearly and effectively to enable informed decision-making.Automating end to end process using Python, Fast API and Analytics tools like pandas, NumPy, vertex Ai, GCP API for LLM calls etc.Designed and deployed data pipelines using Python, enhancing data collection strategies and contributing to a 10% increase in data accuracy for analysis purposes.Developed unit tests using the BDD framework that bolstered test coverage to 85%, significantly reducing the rate of regressions.Led the Switch from text-bison32k to Gemini text model, improving the accuracy in extracting summary of the business context.Enhanced processing of large volume of data in chunks using threads which led to improving the performance.Revitalized an outdated codebase by implementing Python best practices, which enhanced system stability and resulted in a 20% decrease in customer-reported issues.

Works closely with Technical Product Manager for gathering requirements andperforming high-level & low-level design.Preparing vulnerable reports of different environments like Ubuntu, Windowsand Mac.Orchestrated a major cloud migration of Python-based applications to AZUREfrom On-Prem SELI servers, reducing infrastructure costs by 20% while achieving99.99% uptime.Designed and maintained a RESTful API that handled over 25000 millionrequests per month, employing Python and Django to ensure scalability andperformance.Developed unit tests using the unittest framework that bolstered test coverageto 85%, significantly reducing the rate of regressions.Developed and maintained backend services in Python that supported real-time messaging and collaboration features for thousands of users.Introduced a custom Python tool for capturing vulnerable packagesinformation, which streamlined analysis and cut down on manual monitoringefforts by 70%.Developed a Python tool for automated asset tracking, which reducedinventory discrepancies by 25%.Designed containerized applications using Docker, enhancing softwareportability and ease of deployment.Implemented automated CI/CD pipelines using Jenkins and Docker, cuttingrelease cycles from bi-monthly to weekly, thus accelerating software delivery.Automated infrastructure provisioning with Google App Engine, enablingquicker and more consistent deployments and reducing setup times by 30%.Performed code reviews and provided feedback to improve the overall codequality within the team, resulting in a 25% decrease in code defects.Supervised and mentored a team of 5 developers, driving an initiative thatreduced code redundancy by 25% through the introduction of modularprogramming techniques.

Module lead for Rating SystemUnderstand the functionality of the rating system and help the customers inconfiguring the system.Explain the rating module to team members and support them in resolvingthe problem notification.Involved in bug fixing and troubleshooting problem notification.Involved resolving performance issues.Mentoring resources in implementation and defect fixes.

Working in a team of 40 members as designer. Involved in different activities like trouble shooting, designing, TRs and Jiras, Preparing TAF test cases using Java for automation of Unit testing. Involved in build and release activites.

I worked as a developer. I involved in different stages of SDLC. Ability to give the solution for the given problem and implementation. I worked on Core Java and PL/SQL.