Pratik Gore

Highly motivated and results-driven RPA Developer with 1.6 years of experience in designing, developing, and implementing robust automation solutions across various domains. Proven expertise in leveraging RPA technologies like Power Automate Desktop, Power Automate Cloud, and UiPath to streamline business processes, enhance efficiency, and reduce operational costs. Successfully developed and deployed 20+ Attended and Unattended Bots for critical business functions, including financial automation, UI Automation, Web Automation, SAP Automation, Excel Automation, Data Extraction and Data Entry, and Report Generation. Possesses strong analytical and problem-solving skills with a proven ability to identify and automate repetitive tasks, improve data accuracy, and enhance overall operational effectiveness.

• Microsoft Certified: Azure Fundamentals AZ-900
• Microsoft Certified: Azure Data Fundamentals DP-900
• Microsoft Certified: Azure AI Fundamentals AI-900
• Oracle Cloud Infrastructure Foundations
• Databricks Certified: Fundamentals of Lakehouse Platform Accreditation
• Databricks - Generative AI Fundamentals
• Microsoft Certified: Power Automate RPA Developer Associate (PL-500)
• UiPath Certified Professional Automation Developer Associate

1. RPA Project: Automating High-Volume Invoice Reconciliation & Payments

• Developed and deployed an RPA solution to automate invoice processing for 16,000+ vendors, processing 7,000-8,000 invoices daily.
• Utilized AI/ML technologies (Azure AI, Azure Document Intelligence, AI Builder, GenAI) to extract data from diverse document formats (PDF, JPG, DOC, etc.) with 90-95% accuracy.
• Streamlined invoice matching and payment processing from diverse sources including bank portals, client portals, and internal databases. Reducing processing time from 48 hours (SME SLA) to 5-10 hours, resulting in an 80-90% reduction in processing time and saving an estimated $218,750 in labour costs (based on 5-8 SMEs working 35-40 hours per Batch).
• Implemented robust data validation and approval mechanisms to ensure data accuracy and compliance.

Key Techniques Used:

Intelligent Document Processing: Extracted data from various document formats using AI/ML techniques.

Complex Matching Logic: Developed sophisticated matching algorithms for accurate invoice-to-payment reconciliation.

Dispatcher-Performer Architecture: Designed and implemented a scalable architecture for high-volume processing.

Multi-Bot Architecture: Leveraged multiple bots to efficiently handle the workload.

Data Integration: Integrated with various systems.

2. RPA Project: Automating Product Data Entry into SAP

• Developed and deployed an RPA solution to automate product data entry into SAP, processing 500+ files daily across all product categories.
• Utilized AI/ML technologies (Azure AI, Azure Document Intelligence, AI Builder, GenAI) and Python scripting for intelligent document processing and data extraction from DOC files.
• Automated the classification of documents into respective product categories.
• Extracted key data fields, including table data (nutrition details, dimensions, styles), from documents with high accuracy.
• Created SAP documents, populated fields with extracted data, uploaded supporting PDFs, and saved records successfully.
• Reduced processing time from [24 hours per batch] to [5 hours], resulting in an 80-90% reduction in processing time and saving an estimated $461,538 - $519,231 in annual labour costs for 10 SMEs.
• Utilized Power Automate, Power Platform, .NET Scripts, VBScript, Python and VBA for process automation.

3. RPA Project: Automating Case Resolution in Salesforce Engage Plus

• Developed and deployed an RPA solution to automate the resolution of over 100 cases per day in Salesforce Engage Plus.
• Utilized UiPath, VBA, and .NET scripts to automate case processing workflows.
• Extracted customer name, case description, and customer type from cases based on defined rules.
• Downloaded and saved attachments from cases to a designated SharePoint folder.
• Updated case records in Salesforce Engage Plus with relevant information and status.
• Closed cases upon successful resolution according to predefined criteria.
• Generated and sent a consolidated Excel report of processed cases to process owners at the end of each day.
• Significantly improved case resolution times and enhanced overall case management efficiency.

• Date of Birth: 12/16/01
• Gender: Male
• Marital Status: Single

• Reading Books
• Poetry
• Strategic Gaming
• Trekking and Rock Climbing
• Cricket and Chess