VED RAMESH MHATRE

Leasing Operations (2024-present)

- Managed on-boarding of customer in SAP & LAMS on the basis of customer documents and sanction details

- Got customer on-boarded within 100% TAT

- Managing capitalisation activity issuing LSS and sharing it with respective RMs

- Reconciliation of all the document as per PO and Disbursement and verify for all the parameters as per GST requirement in Vendor Tax invoices & Invoice entry in system

- Capitalisation Authorisation and ensuring all the capitalisation is correctly posted to SAP

- Making sure that 95% LSS are issues within 4 days of TAT

- Ensure that all the attribute are updated as required by respective customer

- Responding to internal & external customers and resolve their queries efficiently related to LSS and Rentals

- Post Month-end Documents are shared with FINCON team by 7th of subsequent month

- Ensure all the documents as per process are properly filed and PDD files are despatched with 30 days of Capitalisation

Banking Operations (May,2023- Jan,2024)

- Simplifying the procedure for opening an escrow account in every vertical by coordinating with RMs and resolving queries

- Ensure same-day processing of escrow transactions of TCL & TCHFL subject to applicable banking cut-off times

- Liaising with Sales, Operations, Credit teams, and banking partners to resolve account opening issues and ensure seamless business continuity

- Providing support to minimize the number of open entries in the reconciliation process for TCHFL

- Managing team members by assigning separate responsibilities for account opening and transaction processing to ensure smooth workflow

- Monitoring BOT performance and leveraging BOT to reduce manual intervention,further involving it in better utilisation as well

- Conducted authenticity verification of 100+ companies by sourcing data from MCA, NASSCOM, EPFO, WHOIS, and systematically maintaining records in the EY Nexus database.

- Analyzed and visualized datasets using MS Excel and Power BI to produce high-quality, accurate client reports.

- Collaborated with the analytics team to support data cleansing, segmentation, and structured data mining efforts