SHANMUGA PRIYAN J

Perform SIEM and UEBA analysis using variety of tools (GRA, Splunk, CrowdStrike, QRadar, Sentinel) and monitoring security incidents to determine intrusion and malicious events. Looking for attacks, intrusions and unusual, unauthorised, or illegal activity and investigate security alerts and provide incident response. Extensive Cisco ASA and Palo Alto Firewall analysis along with Threat Hunting by analysing the logs to find the root cause and prepare an executive summary report. Manage RSA and DUO Two-factor authentication methods for our organization employees. Meticulous IT support technician in providing L2 support. Regularly handled 200+ tickets per week and solved 98% of issues without seeking the help of L3 support. Commended 10+ times for best monthly ticket response times in a team of 10 support techs. Preparing daily and weekly dashboards, reports along with key points to be discussed in daily scrum and sending weekly reports to the superiors. Ensure maximum client satisfaction by providing exceptional and personalized service, liaise with stakeholders in relation to cyber security issues and provide future recommendations.

Completed image, document enrichment and text extraction project with optical character recognition using Tesseract, OpenCV and various python libraries. Worked on large datasets with Pandas, NumPy, RegEx and used data visualization techniques for better representation. Trained machine learning models from data preparation for final prediction from raw datasets. Worked on a POC with YOLO for real-time object detection for self-driving cars. Build machine learning model implementing automatic image enrichment process with the help of python and openCV. Worked in projects involving reconciliation and building classification models. Participated in TCS internal events and won cash awards with goodies.

Trained in Appian 19.2 and completed projects to automate the Bank Account Opening process. Trained in Kofax Transformation and completed projects in text extraction, invoice processing. Gained an understanding of various ML Algorithms with hand on experience in Google Colab. Placed 1st among 45 trainees in the POC for predicting IPL Trophy winner with accuracy of 86%.