Data Entry Specialist & Finance Professional
Hello,
I'm Rendy
Eight years of working with data, shipping records, and financial reports in Jakarta — plus a side of logo design and Canva work that I picked up along the way.
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About
I spent the last eight years doing data work in Jakarta's shipping and finance world — entering records, cleaning databases, building reports, and making sure the numbers actually made sense before they reached anyone else.
On the side I picked up design work too. Logo design, Canva layouts, personal branding — things I genuinely enjoy and that come in handy more often than people expect.
I work well on my own, don't need to be micromanaged, and tend to find the problem before it becomes someone else's emergency.
8+
Years of experience
2
Industries served
3.03
GPA — Atma Jaya University
Projects
01
Container Cargo Manifest — Form BA-1
Business Problem
Every voyage had cargo from multiple customers mixed together, but we had no consistent way to document it. Different people recorded things differently, and when something went missing or got mislabeled at port, nobody could agree on what was supposed to be there in the first place.
Analysis Process
I started by looking at why the disputes kept happening — usually it was inconsistent formatting and missing fields. So I cleaned up the existing cargo lists, standardized how container IDs and seal numbers were written, and gave each voyage its own sheet so nothing bled into another trip. I also added validation rules to the template so incomplete entries couldn't slip through before submission.
Outcome
The disputes at port handover got much less frequent once everyone was working from the same document. The BA-1 form eventually became the standard handover doc between our team and the port authority.
Tools:
Microsoft Excel
Data Validation
Data Cleaning
Document Management
02
Rekap Tagihan PLN — Vessel Bunker Data Report
Business Problem
Billing PLN across multiple voyages and vessels every month was messy — each trip had different cargo volumes, different port fees, and fuel shrinkage that varied each time. Tracking it all manually meant things got missed, and a wrong number on a high-value invoice was not something anyone wanted to explain.
Analysis Process
I built a multi-sheet Excel file that pulled all the voyage data together in one place. Each cost component — PPN, PPh, port fees, fuel shrinkage — had its own formula so I wasn't doing the math manually each time. I traced each invoice from the gross amount down to what we'd actually receive, checking each row against the voyage logs before anything went out. That way if a number looked off, I caught it before it became a billing dispute.
Outcome
The billing summaries went out on time and with fewer corrections bouncing back from PLN. Because the model was reusable, putting together the next month's report took a fraction of the time it used to.
Tools:
Microsoft Excel
Funnel Analysis
Formula Aggregation
Auto Count
Tax Reporting
03
Monthly Tax Invoice — E-Invoicing DJP
Business Problem
PLN required a valid Faktur Pajak for every billing cycle, and DJP's e-invoicing system is unforgiving — wrong NPWP, off DPP value, or a late submission and the whole invoice gets rejected. With amounts like Rp 649 million per voyage, getting it wrong wasn't really an option.
Analysis Process
Before I submitted anything, I'd check the invoice value against the Auto Count ledger and the voyage billing summary — just to make sure the DPP number was right. Then I'd verify the client details (NPWP, name, address) against our master database, because DJP's system will reject a faktur for something as small as a mismatched character. Once submitted, I tracked each serial number, its approval status, and when payment came in. That trail saved us a few times when questions came up months later.
Outcome
No invoices were rejected by DJP during my time there. Payments from PLN came in on schedule, and the A/R records stayed clean enough that year-end reporting wasn't a scramble.
Tools:
DJP E-Invoicing System
Auto Count
Data Reconciliation
A/R Ledger
Compliance Check
04
Shipment Database Management & Quality Control
Business Problem
With that many records coming in every month, the database got messy fast — duplicates, tracking numbers in different formats, fields left blank. After a while the data became hard to trust, and generating a clean report for management or a client started taking way longer than it should.
Analysis Process
I set up a regular cleaning routine — removing duplicates, fixing tracking number formats with TRIM and CLEAN, and using ISBLANK formulas to flag records with missing customer fields before they got buried. Every so often I'd compare the database count against the physical manifests to catch anything that hadn't made it in. And to stop the same problems from coming back, I made a master entry template with locked column formats so new entries came in consistently from the start.
Outcome
The database got noticeably cleaner and easier to trust. Reports to management and clients became more reliable, and when new people joined the team, the template gave them a clear structure to follow from day one.
Tools:
Microsoft Access
Microsoft Excel
Data Cleaning
Data Audit
Big Data Processing
Work experience
Sep 2017
Dec 2024
7 yrs 4 mos
Jakarta
Dec 2024
7 yrs 4 mos
Jakarta
Data Entry Specialist
PT. Yudha Antar Nusa · Full-time · On-site
- Day-to-day, I handled the entry and upkeep of shipment records — customer info, tracking numbers, container details, cargo manifests — across a database that grew to thousands of entries a month. Getting the details right mattered a lot here because one wrong number could derail an entire shipment.
- I put together a standardized cargo manifest form (BA-1) for each vessel voyage after noticing that inconsistent records kept causing arguments at port handover. Once we had a consistent format, those disputes dropped significantly.
- Over time I built a routine for cleaning the data — catching duplicates, fixing inconsistent formats, flagging fields that were left blank. Nothing glamorous, but it kept the database reliable year after year.
- Part of the job was turning raw shipment data into readable reports for clients. I took care of the layout and formatting so the end result looked clean and professional, not like a raw spreadsheet dump.
- Every so often I'd sit down and cross-check the database against physical manifests to make sure nothing slipped through. Catching a missing entry early saved a lot of headaches down the line.
Jul 2015
Jul 2016
1 yr 1 mo
Jakarta
Jul 2016
1 yr 1 mo
Jakarta
Finance Officer (A/R)
Soechi Group · On-site
- Each month I prepared and submitted tax invoices (Faktur Pajak) to PT. PLN (Persero) through the DJP e-invoicing system. I was careful about the details — DPP figures, NPWP, PPN calculations — because a single error could mean a rejected invoice and delayed payment. We had no rejections during my time there.
- I ran the billing side for our vessel routes like Tanjung Uban–Belawan, pulling together voyage data for ships like Silvia XII and Soechi Pratiwi and building the invoice reports in Auto Count. It meant keeping track of a lot of moving parts across multiple trips each month.
- The monthly A/R reports were mine to compile — everything from PPN and PPh right down to port fees and fuel shrinkage per voyage. I wanted the numbers to tell a clear story, not just be a table of figures, so I was particular about how they were laid out and checked.
- I also handled the paperwork side: debit notes, payment records, transaction trails. The kind of documentation that doesn't feel important until someone needs to trace a payment six months later — so I kept it tidy from the start.
Skills
Technical skills
Personal strengths
- Multitasking efficiently under pressure
- Collaborative and team motivator
- High initiative and self-driven
- Consistent on-time delivery
- Clear and effective communicator
Education
Business Administration (S.AB)
Universitas Atma Jaya Jakarta (UNIKA Atma Jaya)
Jakarta Selatan, Indonesia
IPK 3.03 / 4.00
2015
Let's work
together
Open to new opportunities in data management, finance, or creative projects.