Vitesh Khanna

Vitesh spearheaded complex forensic assignments related to fraud detection, anti-money laundering risk, anomaly detection, pattern recognition, and other critical matters.

Key engagements and experience

1) Transaction Monitoring - International Bank

• Conducted transaction monitoring investigations for the UK and US regions, identifying anomalies related to money laundering, terrorist financing, and human trafficking. Assessed suspicious activities and filed Suspicious Activity Reports (SARs) for the UK regulator, ensuring compliance with AML regulations.
• Regularly engaged with the client to discuss key deliverables, ensuring high-quality outcomes and adherence to regulatory standards, also managed a team of analysts, providing guidance and expertise to improve investigative accuracy and efficiency.
• Result - Successfully filed high-quality SARs, improving regulatory adherence and risk reporting. Received multiple awards for exceptional performance, recognizing contributions to financial crime prevention and compliance.

2) Medical healthcare audit - Collaborated with an Oil and Gas PSU

client, on a medical healthcare forensic audit.

• Designed and implemented analytics testing procedures to identify revenue leakages, shortfalls, and payment delays based on medical billing and reimbursement agreements.
• Developed analytical models to identify misreporting and non-compliance issues against authorized medical codes, treatments, and service providers as per the contracts.
• Leveraged Tableau and Power BI expertise to drive business insights and optimize performance, delivered 7 dashboards with immediate implementation of ad hoc requests on a weekly timeline.
• Result: Enhanced detection of fraudulent activities by 35%, identified ₹11.8 crores in discrepancies, and improved operational efficiency by 25% through dynamic dashboards and comprehensive reports.

3) Fintech AML review - Engaged as an AML Data Analyst at an e-payment services bank, specializing in transaction monitoring and suspicious transaction reporting

• Design and Implementation of AML Testing Procedures: Developed and executed rigorous testing procedures to identify suspicious transactions, threshold breaches, and delays in reporting, ensuring adherence to AML compliance agreements and enhancing fraud risk management.
• Threshold Tuning and Forensic Collaboration: Conducted comprehensive threshold tuning analysis and collaborated closely with the forensic investigation team, refining thresholds to optimize detection accuracy and reduce false positives.
• Result - Proposed and implemented new thresholds in the AML system, significantly reducing false positives by 29% and improving the bank's ability to monitor and respond to potential risks, thereby strengthening fraud risk management.

4) Roads and toll industry audit - Engaged in a critical role with a toll plaza client, leading comprehensive forensic data analysis to evaluate and address revenue loss over a specific period.

• Successfully navigated vast datasets to identify potential discrepancies and areas of revenue leakage. Uncovered 48 crores of revenue discrepancies across 5 years.
• Result - Improved revenue monitoring and management practices, leading to a 30% increase in overall revenue accuracy. Delivered actionable AI recommendations to achieve 90% automation and safeguard against future frauds and revenue leakage.

5) Handled multiple procurement engagements, specializing in creating SQL routines to detect and prevent fraudulent activities by vendors. Instrumental in developing comprehensive summary reports to discern patterns, contributing to a proactive approach in addressing potential risks and ensuring the integrity of the procurement process.

• Reduced processing time by 2/3rd by leveraging python and excel to automate data processing. Automated bulk upload of multiple tables into SQL server using a Python tool, simplifying the process and saving time by enabling simultaneous upload with user-defined table numbers and names. All the tables will be uploaded at once instead of one by one.

• Completed an internship at Learnbay Data Science and Al, gaining hands-on experience in machine learning, deep learning, NLP, and SQL.
• Earned the IBM Data Science Certification, showcasing proficiency in applying data science methodologies and tools.