RAJASHEKAR BANDI

•Reviewed transaction alerts and customer account activity to identify suspicious patterns, fraud risks, and AML

red flags in accordance with regulatory standards.

• Performed KYC, CDD, and EDD reviews by validating customer identity, source of funds, and customer risk

profiles.

• Conducted investigative analysis of AML alerts and documented findings in case management systems to support

governance and compliance processes.

• Assisted in preparing Suspicious Activity Reports (SARs) with detailed narratives, supporting evidence, and

regulatory documentation.

• Supported risk monitoring activities and collaborated with internal stakeholders to ensure timely escalation and

resolution of compliance issues.

• Assisted in conducting vulnerability assessments and risk analysis for small business networks using tools such as Nessus and OpenVAS.
• Monitored and analyzed simulated security incidents using a SIEM platform (Splunk) to identify anomalies and escalate relevant alerts.
• Helped design and implement security awareness training modules to enhance end-user compliance.
• Remote

• Developed and optimized automated data pipelines using Python, Pandas, and SQL to extract, clean, and transform retail transaction data from multiple internal and external sources.
• Designed and deployed ETL workflows in AWS, leveraging S3, Lambda, and Redshift for secure, scalable and reliable data integration and storage.
• Created interactive Power BI dashboards to provide actionable business insights and enable real-time monitoring of key sales metrics and performance trends.
• Collaborated with cross-functional teams, including business analysts and data architects, to enhance data validation processes.