Brahmanpally Amulya

Reviewed alert
disposition patterns and escalation outcomes to refine prioritization criteria, helping investigation teams focus on
higher-risk cases and improve review turnaround times. Shared findings with compliance and QA stakeholders through
structured summaries, supporting more consistent alert handling across monitoring queues.

KYC AND CUSTOMER RISK PROFILING REVIEW KYC, CDD, EDD records customer transaction behavior geographic exposure, improving
customer risk classification accuracy and reducing remediation requests by approximately 20%. Performed data
validation checks on records using Excel-based controls, improving completeness and reliability of customer
profiles used in AML monitoring. Coordinated with onboarding and compliance teams to address documentation gaps,
supporting smoother periodic review cycles and stronger audit readiness.

AML OPERATIONS REPORTING AND AUDIT SUPPORT
Consolidated alert outcomes, investigation timelines, and SAR support metrics into operational reports, improving
visibility into SLA adherence and reducing backlog risk by approximately 15%. Tracked investigation volumes and
escalation trends to support workload balancing discussions with compliance leadership during peak monitoring periods.
Prepared audit-ready summaries by organizing investigation evidence and case documentation, enabling faster and
more efficient responses to regulatory and internal audit requests.
• Spported QA activities for telecom/embedded products; assisted with basic test execution and documentation.
• Collaborated with team members to track defects and verify fixes against acceptance criteria.

• Worked on data preprocessing and analysis using Python libraries like Pandas and NumPy.
• Developed machine learning models for prediction and classification tasks.
• Collaborated with team members to complete ML assignments and research tasks.
• Used tools like python, OpenCV, and TensorFlow/keras for project development.