My main responsibility as a data entry officer is to input, update, and preserve correct data in company databases and systems. This entails digitally transcribing information from multiple sources, ensuring data completeness and correctness, and structuring data for simple retrieval and analysis. In order to maintain the integrity of the data being entered, this function requires close attention to detail.
Furthermore, I might be in charge of spreadsheet management, report generation, and data quality checks to find and fix mistakes. Part of the job also involves ensuring that data entry processes and procedures are followed and working with other departments to acquire information.
As an Accounts Receivable Supervisor, my focus shifts to overseeing the accounts receivable functions of the organization. This includes managing billing and invoicing processes, monitoring outstanding accounts, and ensuring timely collection of payments from clients and customers.
I would be responsible for reconciling accounts, resolving billing discrepancies, and maintaining accurate records of transactions and receivables. Another key aspect of the role involves coordinating with internal teams such as sales and customer service to address client inquiries and issues related to billing and payments.
Furthermore, I would analyze accounts receivable data to forecast cash flows, prepare aging reports, and assess the creditworthiness of customers. Implementing and improving collection procedures to optimize cash flow and reduce delinquency rates would also be part of my responsibilities.
Overall, in both roles, meticulousness, organization, and a strong grasp of data management and financial processes are essential to ensuring operational efficiency and accuracy within the respective domains.
Experience
CEBU HOTEL PLUS
Jun 2018 – Present
Cebu City, Philippines
Accounts Receivable Supervisor
As an Accounts Receivable Supervisor, my focus shifts to overseeing the accounts receivable functions of the organization. This includes managing billing and invoicing processes, monitoring outstanding accounts, and ensuring timely collection of payments from clients and customers.
I would be responsible for reconciling accounts, resolving billing discrepancies, and maintaining accurate records of transactions and receivables. Another key aspect of the role involves coordinating with internal teams such as sales and customer service to address client inquiries and issues related to billing and payments.
Furthermore, I would analyze accounts receivable data to forecast cash flows, prepare aging reports, and assess the creditworthiness of customers. Implementing and improving collection procedures to optimize cash flow and reduce delinquency rates would also be part of my responsibilities.
Overall, in both roles, meticulousness, organization, and a strong grasp of data management and financial processes are essential to ensuring operational efficiency and accuracy within the respective domains.
Supporting Enterprise Inc
Mar 2021 – Aug 2021
Cebu City, Philippines
Annotator
As an annotator, my job revolves around meticulously analyzing and labeling data to facilitate the development and training of machine learning models. Here’s a detailed overview of what your role typically entails:
Data Annotation: My primary responsibility is to annotate or label data accurately and according to predefined guidelines. This could involve various types of data such as images, text, audio, or video.
Quality Assurance: Ensuring the quality and consistency of annotations is crucial. I am reviewing my work and potentially that of others, identifying errors or discrepancies to maintain high standards.
Tool Proficiency: I'll use annotation tools and software proficiently. This includes understanding the functionalities of tools specific to my tasks and, ensuring efficient and effective annotation.
Domain Knowledge: Depending on the projects I work on, you may need domain-specific knowledge. For instance, annotating medical images requires understanding medical terminology and anatomy.
Following Guidelines: Adhering strictly to annotation guidelines and project specifications provided by project managers or clients. This ensures uniformity and accuracy across the dataset.
Communication: Effective communication is key. I may need to clarify instructions, report issues, or provide feedback to improve processes and data quality.
Data Security: Maintaining data security and confidentiality is paramount. I'd handle sensitive information responsibly and in accordance with privacy regulations.
Continuous Learning: Staying updated with new annotation techniques, tools, and developments in my field. This helps me improve efficiency, and stay relevant in my role.
As an annotator is foundational to the success of machine learning projects. The quality of annotated data directly impacts the performance and reliability of AI models, making our role critical in the development of AI technologies across various industries.
Education
University of Cebu
Jun 2019 – Mar 2020
Bachelor's, Bachelor of Science in Business Administration Major in Finance Management