Yogesh Rana

• Lead and manage a team of 4 RPA developers and 4 OCR developers.
• Design, develop, and deploy end-to-end automation solutions.
• Collaborate with business stakeholders to identify automation opportunities.
• Ensure timely delivery of automation projects with high quality and governance.
• Monitor bot performance and optimize production automations.
• Drive digital transformation initiatives within logistics and warehouse domains.

KEY PROJECTS

Samsung logistics automation (Brity RPA OCR & middleware integration)

• Led end-to-end logistics automation for Samsung subsidiaries, implementing integrated ecosystem with Brity RPA.
• Streamlined booking, tracking, and billing processes, reducing manual intervention and enhancing accuracy.
• Designed and deployed Brity RPA bots to automate logistics booking transactions on Cello platform.
• Replicated entire user workflow, including data validation, entry, and submission.
• Developed intelligent RPA workflow for shipment milestone updates on Cello Square portal.
• Automated extraction of shipment status data from airline websites using bots.

Architected end-to-end AP billing automation, integrating OCR engine for invoice data extraction.

• Enabled straight-through processing of vendor invoices with automated verification and posting.

MRP Labelling Automation (Warehouse Project)

• Scope: Warehouse Label Generation & Validation
• Automated MRP label generation process from SAP.
• Implemented OCR validation for label verification.
• Reduced manual labelling errors.
• Improved warehouse dispatch efficiency.
• Impact:
• Reduced manual intervention
• Minimized labelling errors
• Improved warehouse processing speed

• Conducted preliminary investigations to confirm violations that occurred and obtained relevant documents and testimony from involved parties.
• Analyzed large amounts of data to find patterns of fraud and anomalies.
• Reviewed transactions and receipts to identify any suspicious activity.
• Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity.
• Analyzed financial statements to identify discrepancies, irregularities and fraudulent activity.

• Analyzed large amounts of data to find patterns of fraud and anomalies.
• Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity.
• Performed risk assessments to determine level of fraud risk and prioritize investigations.
• Tracked fraud cases and monitored trends to develop strategies for prevention.