Fraud Risk, Anti Financial Crime (AML) and Analytics & Data Science professional with over 7 years of experience with Banking & Financial Services. Immensely passionate about Artificial Intelligence and aspire to lead the way for a tech revolution in the continually evolving financial services sector. Aim to maximise the financial inclusion Client/Stakeholder Management : Extensive experience working closely with senior stakeholders and external clients with exceptional feedback Cross Team Collaboration : Experience in several strategy consulting and analytics projects within the wider department that not only built great relationships but also leveraged SME knowledge leading to a better delivery Mentoring : Mentored team members and ensured their development alongside providing early project leadership opportunities while maintaining successful deliveries Department wide engagement at work : Actively involved in the department wide activities and initiatives, such as conducting technical trainings, sharing the success stories and contributing to the risk forum to ensure proactive risk management Technical Expertise : SAS EG, SAS E-Miner (Text Analytics), SQL (Management Studio), Teradata, Hadoop Big Data (Impala), R Programming Language, Python, High level languages such as C++/Java (worked on these during technical projects at university)