I am a graduate student in the field of Auditing at Kharazmi University in Tehran. I have recently completed my Master's degree and my thesis focused on the quality of auditing using machine learning techniques. With a background in auditing for 2 years, I have gained experience in financial institutions such as the Court of Accounts and the Central Bank of Iran.
During my academic journey, I developed a strong interest in the application of machine learning in the field of auditing. My research aimed to explore how machine learning algorithms can enhance the quality and efficiency of auditing processes. Through extensive data analysis and model development, I identified patterns and trends that can significantly improve the accuracy and effectiveness of auditing procedures.
My professional experience as an auditor has provided me with valuable insights into the challenges and complexities of financial systems. It has honed my analytical skills and attention to detail, enabling me to detect anomalies and irregularities in financial statements effectively. Furthermore, my work at reputable institutions such as the Court of Accounts and the Central Bank of Iran has deepened my understanding of regulatory frameworks and compliance requirements.
I am highly proficient in various programming languages, including Python, R, and SQL, which allow me to leverage machine learning algorithms and statistical techniques in my research and analysis. Additionally, I possess strong communication and presentation skills, allowing me to effectively convey complex findings and insights to both technical and non-technical stakeholders.
I am now seeking opportunities to apply my knowledge and expertise in a dynamic and challenging environment. I am confident that my academic background, practical experience, and passion for data-driven auditing will make me a valuable asset in any organization. If you are looking for a dedicated and innovative professional who can contribute to the advancement of auditing practices, please feel free to contact me.
Ac-Score is a Number Between 150-850 Representing Your Entire Academic Activities. This Number Not Only Gives You a Vision of Your Strengths and Weaknesses in Your Academic Background but Also Helps You Compare Yourself with Other Competitors in This Domain.
