Dherick Jay P.

Key Skills

Software

AWS SageMaker

Google Cloud Vertex AI

Other

Top Subject Matter

Invoice and Financial Data Processing

Invoice and Payroll Processing Automation

Top Data Types

Image

Text

Document

Top Task Types

Entity (NER) Classification

Fine-tuning

Function Calling

Data Collection

Freelancer Overview

RPA Developer - Data Extraction Automation (DXC Technology). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include UiPath. Education includes Bachelor of Science, Batangas State University (2019) and Master of Science, Batangas State University (2023). AI-training focus includes data types such as Document and labeling workflows including Data Collection.

Labeling Experience

RPA Developer - Data Extraction Automation (DXC Technology)

DocumentData Collection

Developed and implemented an RPA solution to automate invoice data extraction and entry into SAP. This process involved extracting structured data from SharePoint Excel files and transferring information into financial software, focusing on invoices and accounting data. Automation reduced manual processing time and improved data accuracy for business reporting. • Automated extraction of data fields from invoice documents. • Data validation and transformation for SAP integration. • Developed bots to process expense and rebate reconciliation data. • Utilized advanced logic for error handling and quality assurance.

2023 - 2024

RPA Developer - AI-enhanced Data Extraction (Dexterous Group Pty Ltd)

DocumentData Collection

Led the development of invoice processing automation utilizing OpenAI models for data extraction. Built bots to scan, classify, and organize documents, enhancing accuracy and efficiency in file management. Automated handling of payroll, invoice uploads, and weekly expense claim reporting. • Integrated AI-based models for structured data capture from documents. • Automated extraction, classification, and storage of financial records. • Reduced manual workload by over an hour each day for invoice tasks. • Improved consistency in financial document handling and data quality.

2022 - 2023

Education

Work History