Motivated professional with a talent for generating innovative ideas and executing impactful analytical campaigns. Proficient in automation using Python tools and frameworks, with a solid understanding of process design documents and technical design documents. Skilled in debugging, exception handling, PDF, email, web, Word, and Excel automation using Python, Django REST framework, API, and Selenium. Effective at prioritizing tasks, multitasking, and delivering exceptional results under pressure. Works well in team settings and independently.
Utilized Python frameworks to enhance automation processes.
Showcased strong grasp of design documentation in Automation field.
• Experience in work queues configuration, monitoring.
• Different Work flows, Control flow & Branching, Working with Variables.
• Debugging and Exception Handling.
• PDF Automation, Email Automation, Web Automation, Word Automation and Excel Automation.
• Strong skills in Python, Django REST Framework, API and Selenium.
Multitasked effectively in high-pressure environments.
Skilled in teamwork and independent work settings.
• Ggastro Insurance Data Automation
Engineered a Python-based Selenium automation for the Ggastro portal, enhancing the Adjustment workflow and boosting processing efficiency by 50%. Leveraged NumPy and Pandas for data filtering and Excel integration.Designed ETL workflows, extracted structured data from PDFs using regex, and used SQL queries for database operations.
• Availity API Integration and Insurance Extraction
Built RESTful services using Django REST Framework to extract and process insurance data from the Availity portal. Developed JSON-based data pipelines, parsed response data using regex and NumPy, and automated repetitive workflows with Selenium. Used Pandas for Excel reporting and ensured end-to-end insurance data
validation.
• Tricare Portal Automation
Automated insurance data extraction from the Tricare healthcare portal using Python and Selenium. Extracted patient and policy details from PDF documents using Python libraries and regex patterns. Structured data using Pandas, enabling transformation and reporting workflows with improved turnaround times.
• Prominence Portal Automation
Developed an end-to-end automation pipeline for the Prominence portal using Selenium and Python. Parsed data from downloaded PDFs using regex and stored structured information using Pandas. For efficient memory handling and streamlined insurance claims processing with minimal manual input.