● Successfully 100+ inbound calls, resolving technical issues with a remarkable 97% success rate, resulting in a significant 25% increase in customer satisfaction. ● Implemented and maintained a comprehensive and organized database of customer interactions, inquiries, and solutions, leading to an impressive 80% increase in efficiency in resolving future customer issues. ● Conducted Root cause analysis of recurring issues, which resulted in a remarkable 20% reduction in overall ticket volume. This not only saved valuable time for both customers and the support team but also improved customer satisfaction by a noteworthy 60%. ● Collaborated with Line of business managers, created 100+ incident reports, recorded observations to lead with compliance scores of 80% throughout the tenure by ensuring processes are followed. ● Spearheaded daily standup calls for the team to ensure solving 3000+ tickets a month, collaborated with leadership for achieving response and remediation of incident management.

● Pioneered a model for analyzing if the user has a brain disease called epilepsy and also gives a visualization graph of probability of whether the person will have that disease or not.● Implemented various models like XGBOOST, SVM, RFM and many more to get the best accuracy of more than 80% on the dataset which was provided by NURO company.● Operated a tool called Vertex AI on Google Cloud Platform (GCP).

● Designed and implemented a data pipeline to efficiently ETL (extract, transform, and load) data from various sources into the organization's data lake, resulting in a 30% increase in data processing speed and scalability.● Delivered actionable insights through comprehensive reports and visually appealing dashboards, resulting in a 25% increase in executive team satisfaction with data-driven recommendations.● Led the development of data cubes and OLAP models from data engineer teams, improving data analysis efficiency by 30% and enabling faster decision-making processes.● Collaborated with cross-functional teams to architect scalable and cost-effective solutions using cloud-based infrastructure on AWS, resulting in a 40% reduction in infrastructure costs while meeting all data requirements.● Provided technical guidance and mentorship to junior data engineer team members, fostering a collaborative learning environment within the organization.

● Designed, developed, documented, and implemented test suites and test cases for Cloud HR, reducing the time required for testing by 30%. ● Prepared checklists and documents for JIRA workflow, resulting in a 20% improvement in test case tracking and overall project management. ● Tested web application functionality for a development tool and system reporting portal, leading to a 40% increase in efficiency and productivity. ● Trained 11 new team members in product and functional expertise, testing suites, agile processes, back-end services and monitoring tools, saving approximately 200 hours of training time. ● Facilitated cross-platform skills development through collaboration and transparent communication, resulting in a 15% decrease in the number of issues and conflicts related to platform-specific challenges.

● Leveraged Java and Android libraries to manage complex data flows, handle threading, and enable event-driven programming, resulting in 80% faster data processing and app responsiveness. ● Successfully published 50+ applications on the Google Play Store, managing the release process and handling updates and bug fixes to ensure a smooth user experience. ● Developed comprehensive documentation for each app, outlining operational aspects, functions, capabilities, and features, resulting in a 30% increase in active users within three months. ● Invested an additional 10% of development time in code quality assurance, resulting in a 15% reduction in post-launch bug reports and saving approximately 100 hours of developer time. ● Actively addressed challenges arising in each phase of the mobile development cycle, reducing the average time to resolve critical issues by 25% and ensuring timely project delivery. ● Conducted regular code reviews and implemented best practices, leading to a 20% improvement in overall coding quality and reducing the number of post-launch hotfixes by 40%. ● The entire process, from research and planning to post-launch support, took approximately six months, with an investment of 500 hours of development time and an estimated cost of $50,000.