Samuel Padierna Zapata

Skills: Python (Programming Language) · Statistical Data Analysis · SQL · Microsoft Power BI

As an AR Manager, I spearheaded the transformation of our collections process through strategic policy implementation. I categorized customers based o n their payment habits. Additionally, I innovated by developing a Python script for automating prenotification letters, particularly for delinquent customers. This proactive approach not only improved cash flow but also significantly reduced manual effort, demonstrating a commitment to efficiency and customer-centric collections practices.

In my role as a Senior AR, I took a proactive approach to optimize our financial operations. I successfully designed and implemented KPIs, alongside Power BI dashboards, to monitor the behavior of our operations, identify potential process bottlenecks, and extract valuable insights from our financial data. This data-driven strategy enabled us to develop and execute targeted improvement strategies, ultimately enhancing operational efficiency and contributing to the achievement of our objectives.

As an Accounts Receivable Associate, I leveraged my technical skills to enhance efficiency and accuracy in financial processes. I implemented VBA auto mation to streamline routine tasks, significantly reducing processing time and minimizing the risk of human error. This initiative not only improved operational efficiency but also contributed to a more reliable financial workflow, ultimately supporting the organization's financial goals.