Page 1 of 1
In data since 2023
Trade Analyst at Tradewin · Kuala Lumpur
I make trade data accurate, compliant, and easy to trust.
Trade Analyst with a background in customs data management: HS classification, FTA rules of origin, and clean, audit-ready records across Malaysia, Singapore, and beyond.
Email via LinkedIn · Kuala Lumpur · imanrahman.com · linkedin.com/in/mni00
01 / About
I'm a Trade Analyst at Tradewin (an Expeditors company), where I review transaction-level trade data and HS classifications for accuracy and regulatory compliance across Malaysian and Singapore requirements.
Before that, I spent nearly three years at DHL handling customs clearance data, cleansing and classifying dutiable materials across multiple countries. My degree in Industrial Chemistry gave me a grounding in statistics and precise measurement, and I work mainly in Excel, Tableau, and SQL to keep data accurate and workflows efficient.
02 / Experience
From the lab to logistics to trade compliance. Tap a skill to see where I've used it.
Tradewin (an Expeditors company)
DHL APSSC Sdn. Bhd
SGS (Malaysia) Sdn. Bhd
Bachelor of Industrial Chemistry, Universiti Malaysia Pahang Sep 2019 - Aug 2023
Engineering Foundation, Universiti Teknologi Malaysia Mar 2018 - Jul 2019
03 / Skills
Malaysia Institute of Chemistry
Great Learning
Coursera
Coursera
EF Standard English Test
Created and managed content on SmartConnect highlighting team achievements and activities, boosting internal visibility and promoting participation in events.
Led house meetings and coordinated participation in inter-house sports, cultural, and academic competitions.
04 / Projects
The skill filter above highlights these too.
Developed and deployed a custom web application to streamline guest responses. Leveraged AI for initial codebase generation, followed by manual code customization to meet specific design requirements. Managed the full deployment pipeline via GitHub and implemented link-masking for professional distribution.
View on GitHubA live, in-browser walkthrough of the cleaning steps I apply to messy shipment records: trimming, standardizing, HS code formatting, date normalization, de-duplication, and flagging gaps for review, with a running data-quality score.
Try it below05 / Demo
A messy sample of shipment records with HS codes (made-up data). Press Clean data and watch each fix land as the quality score climbs.
06 / Contact
Looking for someone precise with trade compliance and customs data? I'd love to hear how I can contribute to your team.