About
Detail-oriented and client-focused support professional targeting a Technical Support / Trust & Safety (Payment & Fraud) role, with experience fielding client queries via phone and email, documenting end-user information, and resolving cases within defined SLAs and quality standards. Skilled in troubleshooting, diagnosing client issues step-by-step, maintaining call logs and self-help documentation, and escalating red-flag issues to team leads for timely resolution. Brings direct exposure to fraud, risk, and cybersecurity analysis through structured industry simulations (Deloitte Australia Cyber Job Simulation, Tata Cybersecurity Analyst Job Simulation, EY Technology Risk Job Simulation), directly aligned with Trust & Safety and Payment & Fraud requirements. Comfortable managing transactions to required quality standards, updating availability for productivity tracking (RAVE-style systems), and using tracking/ticketing software to accurately record and resolve cases. Strong verbal and written communication, courteous client handling, and consistent focus on SLA compliance, case resolution rate, and customer satisfaction (Pulse score).
Projects3
Customer Analytics & Predictive Modeling
Collected and analyzed customer review data to identify recurring trends and translate them into actionable insights, a technique applicable to spotting frequent complaint or fraud patterns in case logs.
- Python
- Data Analysis
- Web Scraping
Cloud VPN & Application Security Analysis
Evaluated redundancy, resiliency, and least-privilege access requirements for a hypothetical cloud VPN solution, reinforcing risk and access-control fundamentals relevant to Trust & Safety.
- Python
- Cybersecurity
- VPN
Scalable Cloud Hosting Architecture
Designed and documented a scalable, cost-aware hosting solution for an application under rapid growth.
- AWS
- Amazon Elastic Beanstalk
Education1
B.Tech
2020 — 2024Siddhartha Institute of Engineering & Technology, JNTUH
Electrical and Electronics Engineering