I connect data, finance, and logistics operations to support revenue assurance, distribution efficiency, and business performance, through structured analysis, process improvement, and cross-functional coordination.
I'm a Business Statistics graduate from Institut Teknologi Sepuluh Nopember (ITS), with international experience as an IISMA Scholar at the University of Galway, Ireland.
At PT Meratus Line, a leading Indonesian shipping and logistics company, I support invoice validation and reconciliation workflows across high-volume logistics operations, help identify billing discrepancies to protect revenue accuracy, and coordinate across logistics, finance, AR, and commercial teams to improve reporting reliability and operational efficiency.
I use tools including Excel, Google Sheets, Python, R, Power BI, and Tableau to structure and analyse operational data, making numbers meaningful for decision-makers.
I'm interested in Management Trainee or Management Development Programme opportunities where I can keep learning, take on broader responsibilities, and contribute more directly to business problem-solving. I'm also strengthening my understanding of inventory control, distribution performance metrics, and dashboard storytelling.
Willing to be placed across Indonesia for suitable Management Trainee or business operations opportunities.
Problem: Investors in ESG-listed companies on the IDX face uncertainty when allocating portfolio weights. Different investors define "acceptable risk" differently, making a one-size-fits-all model inadequate.
Approach: Built an interactive R Shiny web application combining Fuzzy Linear Programming (to handle investor risk preference uncertainty) and Global Minimum Variance (to find the lowest-risk portfolio allocation).
Result: A deployed, publicly accessible application where users can select ESG stocks, adjust risk tolerance, and see optimised portfolio weights and efficient frontier visualisation in real time.
Problem: In branch operations, teams often need to monitor inventory health, sales movement, delivery performance, and cost efficiency across multiple areas. In practice, that data is often scattered and hard to read at a glance.
Approach: Built a simulated branch distribution dashboard using dummy FMCG/distribution data, demonstrating how operational and commercial metrics can be structured to support branch-level decisions.
Business relevance: This project is structured around the day-to-day responsibilities of an MT Branch Controller: monitoring stock efficiency, spotting commercial patterns, and using data to support operational decisions. All data shown is simulated.
| SKU | Category | Stock (units) | Turnover | Status |
|---|---|---|---|---|
| SKU-001 | Skincare | 1,240 | 4.1x | Healthy |
| SKU-047 | Haircare | 320 | 3.8x | Healthy |
| SKU-103 | Skincare | 88 | 2.1x | Low stock |
| SKU-215 | Body Care | 45 | 1.4x | Reorder now |
| SKU-289 | Haircare | 610 | 0.9x | Slow moving |
| Area | Sales (Rp M) | vs Target | Growth MoM | Status |
|---|---|---|---|---|
| Area A — Surabaya | 245 | +8% | +12% | On track |
| Area B — Sidoarjo | 312 | +15% | +22% | Exceeding |
| Area C — Malang | 198 | −2% | +5% | Monitor |
| Area D — Gresik | 137 | −18% | −4% | Needs review |
| Route | Shipments | On-Time % | Cost/Ship (Rp) | Status |
|---|---|---|---|---|
| Surabaya → Sidoarjo | 412 | 97% | 28,000 | Efficient |
| Surabaya → Malang | 287 | 93% | 45,000 | Monitor |
| Surabaya → Gresik | 198 | 89% | 52,000 | Review cost |
| Surabaya → Lamongan | 143 | 91% | 61,000 | High cost |
Supported invoice validation and reconciliation workflows by comparing invoice records against cargo manifests across high-volume domestic shipping operations, with a focus on improving billing accuracy and distribution reporting reliability.
Conducted a structured 5-day survey of 98 customers, analysing satisfaction drivers for QRIS digital payment adoption using the biplot statistical method.
I'm interested in Management Trainee, logistics distribution, business analyst, and business development opportunities where I can apply my analytical background, attention to detail, and cross-functional experience.
Willing to be placed across Indonesia. Comfortable working in English (TOEIC 860).
Feel free to reach out for professional opportunities or collaboration.