Amol S. Chavan

Applied advanced data analysis techniques to identify patterns and trends in transactional data, leading to the development of machine learning models for fraud detection.

• Designed and implemented algorithms that predict fraudulent transactions and categorized them into relevant scenarios, optimizing alert prioritization for efficient investigation.
• Collaborated with stakeholders to enhance existing alert systems, focusing on flagged priority alerts and reducing false positives through continuous model refinement.
• Played a key role in streamlining fraud detection processes, significantly improving operational efficiency and minimizing financial losses.

Key Achievements:

• Successfully implemented machine learning models that enhanced fraud detection accuracy.

Led initiatives to streamline alert prioritization, resulting in a 90% reduction in investigation time and improved resource allocation.

Global Onsite Implementation: Spearheaded as Subject Matter Expert (SME) for Anti-Money Laundering (AML) projects, leading a technical team across onsite implementations in six countries: [Oman, Qatar, Kuwait, Sri Lanka, Kuwait, Bahrain].

• Managed end-to-end project lifecycle from requirement gathering, gap analysis scenario formulation, ETL development to production rollout and production support.
• Established robust AML ecosystems for banking institutions, ensuring regulatory compliance and operational efficiency in diverse global markets.
• Collaborated closely with cross-functional teams to deliver tailored solutions, enhancing detection capabilities and minimizing financial risks.

Key Achievements:

• Successfully implemented AML solutions across diverse regulatory environments, enabling seamless operations and compliance in multiple global jurisdictions.

Recognized for expertise in aligning technological advancements with AML compliance requirements, resulting in improved operational workflows and reduced compliance risks.

• Managed Oracle and MSSQL database systems, specializing in data backup, migration, and day-to-day DBA activities.
• Installed and configured Windows and Linux servers to support database operations and ensure optimal performance.
• Set up Hadoop environments and clusters as required for big data processing and analytics.
• Responded to on-demand requests, troubleshooting issues across database and server environments to maintain uptime and data integrity.

· Toubleshooting of windows servers and desktops

· Mails and Antivirus management

· Inventory tracking

· Managing in-house IT network