It Service Application Development

SHARANYA BHOOPATHI

605-***-**** # *********************@*****.*** ï www.linkedin.com/in/sharanyabhoopathi Professional Summary

ServiceNow Administrator extensive experience in designing, implementing, and managing ServiceNow platforms to streamline IT Service Management (ITSM) processes. Proficient in scripting, workflow automation, and module management, including CMDB, Service Catalog, and Knowledge Management. Skilled in data integration, ACL configuration, and custom application development, with a proven track record of delivering scalable, efficient, and user-focused solutions that enhance operational performance and meet business objectives. Technical Skills

Programming Languages: Python, SQL, java,javaScript,SpringBoot,C,C,C++ Databases: Relational Databases ( MySQL, SQL Server ) Web Development: HTML, CSS

ServiceNow: ServiceNow Administration, User Management, Workflow Automation, Service Catalog Management Experience

Infosys PRIVATE LTD December 2021 – Aguest 2023

ServiceNow Administration Hyderabad, India

• Designed and implemented scalable workflows using scripting and automation tools, reducing incident resolution times by 30percent and improving operational efficiency by 20percent.

• Automated task workflows and approval processes using Glide scripting and Flow Designer, cutting task completion times by 40percent and reducing service request processing time by 20percent

• Enhanced CMDB with ServiceNow Discovery and Service Mapping for accurate asset tracking, impact analysis, and compliance with security policies through granular ACL configurations.

• ServiceNow with third-party tools like Jira, Splunk, and Microsoft Teams via REST APIs, webhooks, and MID Server configurations, streamlining enterprise workflows.

• Led instance upgrades, monitored platform health, optimized query performance, enforced data consistency with UI/data policies, and improved user experience with dynamic notifications.

• Provided training and documentation, increasing platform adoption by 40percent, and optimized update set management for seamless deployments and risk mitigation.

Projects

Parkinson’s Disease Using Capsule Networks Python, TensorFlow/Keras, Capsule Networks Nov 2024 – Dec 2024

• This study demonstrates the potential of Capsule Network (Caps Net) technology for early detection of Parkinson’s disease (PD) through voice analysis, providing a non-invasive diagnostic solution to identity early symptoms of PD.

• By integrating advanced data preprocessing and augmentation techniques, the Caps Net model was significantly optimized, improving model robustness and enhancing its ability to generalize across diverse patient data.

• Achieved higher accuracy compared to traditional CNNs by effectively capturing complex patterns in biomedical signals and images.

Anomaly Detection Attack Prevention in IoT Sensor TensorFlow, Scikit-learn Mar 2024 – Apr 2024

• The project demonstrates the effectiveness of machine learning algorithms in anomaly detection within IoT sensor networks, successfully identifying deviations in sensor data indicative of malicious activity and cyberattacks.

• The use of Random Forest for anomaly classification resulted in a high detection accuracy of 99.3percent, proving the model’s ability to detect cyberattacks such as Denial of Service (DoS) and Man-in-the-Middle (MitM) with exceptional precision.

• Integrated data validation techniques to check schema consistency and improve data accuracy before loading into Redshift.

Study on GPU and CPU Selection For Max Benefits Geekbench, PassMark, Cinebench, 3DMarkNov 2023 – Dec 2024

• This research provides a detailed analysis of the performance of Central Processing Units (CPUs) and Graphics Processing Units (GPUs) for parallel computing, offering software engineers and researchers data-driven insights to choose the most suitable platform for large datasets and supercomputing tasks.

• The study emphasizes the integration of parallel processing techniques to enhance processor performance, demonstrating how leveraging multi-threading and parallelism can significantly improve computational efficiency

• Analyzed benchmark tests on real-world tasks to assess computation speed, parallel processing capabilities, and thermal management.

Education

University of South Dakota

Master’s in Computer Science Vermillion, SD

Jawaharlal Nehru Technological University,JNTUH Aug 2017 – July 2021 Bachelor’s in Computer Science Engineering Karimnagar, India Certifications and Skills

• Certified ServiceNow System Administrator (CSA): ServiceNow

• IT Service Management (ITSM)

Aug 2023 – May 2025