With over 7+ years of experience in the finance and accounts domain, I bring a solid foundation in accounts receivable and financial analysis. My career journey has been marked by a dedication to precision, efficiency, and a continual pursuit of data-driven insights.In my previous roles at Maersk and WNS, I've specialized in cash posting, bank reconciliation, financial reporting and process improvements, where attention to detail and a proactive approach were paramount. Notable achievements include streamlining reconciliation processes, reducing defects in the process and implementing efficient reporting systems.Transitioning into the dynamic realm of data science, I'm enthusiastic about leveraging my expertise in financial data analysis and manipulation. I've honed my skills in Python programming, data visualization tools like Tableau and Power BI, and statistical modeling, preparing to contribute meaningfully to the field.I'm driven by a passion for leveraging data-driven insights to steer strategic decision-making. My goal is to solve complex business problems using supervised and unsupervised machine learning techniques.Let's connect to explore opportunities where my analytical mindset and cross-disciplinary experience can contribute to driving impactful outcomes in the field of data science.