Muhammad Fauzan

• Managed daily reconciliation of international financial transactions, ensuring 95% accuracy. • Worked closely with finance teams to improve financial accuracy. • Investigated and resolved transaction discrepancies, reducing reconciliation errors by 30%. • Analyzed bank reconciliation reports to resolve discrepancies.

• Evaluated and improved Know Your Customer (KYC) procedures, verified and ensured 100% adherence to AML/CFT compliance regulations. • Ensured compliance with financial regulations and risk assessment frameworks. • Managed data entry and document organization ensuring 99% accuracy. • Managed compliance processes and ensured adherence to regulatory frameworks rectifying 85% of policy gaps. • Coordinated with cross-functional teams for financial reporting and auditing.

• Processed and verified account openings, ensuring regulatory compliance. • Managed high-value financial transactions while mitigating operational risks. • Assisted in AML (Anti-Money Laundering) initiatives and fraud detection measures. • Evaluated financial statements and customer profiles for lending and credit decisions.

Courses: 1. Fundamentals of Data Analytics. 2. Predictive Analytics & Machine Learning using Python. 3. Enterprise Data Warehouse and Database Management Systems. 4. Big Data Analytics. 5. Computer Vision and Artificial Intelligence. 6. Visualization and Story Telling using Tableau.

Major courses: Economics, Basic Finance, Statistics and Probability, Applied Regression Analysis, Time series analysis and Forecasting, Basics Accounting, Risk Theory, Financial management, Econometrics, etc.