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Sep 2022 – Aug 2023 · Trade Finance / International Banking

Trade Finance Reporting & Client Analysis

Built SQL-driven reporting on transaction data to surface high-performing clients and support investment proposals to EBRD and ADB.

SQLExcelDashboardsPowerPointClient Analytics

The problem

The trade finance team needed a reliable, repeatable way to consolidate transaction data spread across multiple systems, evaluate client performance, and back up investment proposals to international financial institutions with solid data.

Reporting dashboard

SQL-driven dashboards consolidating transaction data across systems — client performance, instrument volumes, and pipeline metrics.

Trade Finance — Reporting Dashboard
Sep 2022 – Aug 2023
LC Volume
$14.2M
Letters of credit
Active Clients
47
Corporate & institutional
Avg Processing
2.1 days
↓ from 4.3 days
Proposals Sent
12
EBRD & ADB
Top Clients by LC Volume
Client A — Manufacturing$3.8M
Tier 1
Client B — Agriculture$2.9M
Tier 1
Client C — Textiles$2.1M
Tier 2
Client D — Energy$1.7M
Tier 2
Client E — Logistics$1.4M
Tier 3
Quarterly Instrument Volume
Q3 '22
Q4 '22
Q1 '23
Q2 '23
LC
Guarantees
Doc. Collections
* Illustrative mockup — figures are representative, not actual bank data.

The approach

I wrote and optimized SQL queries to extract and analyze transaction data directly from source systems, then consolidated data from multiple transaction systems into a single, consistent view. From that base, I built client-performance reports and dashboards in Excel, used data-driven analysis to identify the bank's highest-performing clients, and prepared investment proposals for international institutions including the EBRD and the Asian Development Bank.

Tools & technologies

SQLMicrosoft ExcelMS OfficePowerPoint

Key outcomes

  • Replaced manual data pulls with optimized SQL queries, speeding up recurring reporting cycles.
  • Consolidated fragmented transaction data into unified client-performance dashboards.
  • Identified top-performing clients through data-driven analysis, informing relationship strategy.
  • Co-prepared investment proposals presented to EBRD and the Asian Development Bank.
CV