Albar Pambagio Arioseto's Resume

Albar Pambagio Arioseto

Data analyst building end-to-end analytics pipelines across FMCG, retail, and healthcare. Open to relocate.

Bandung, Indonesia

  • GitHub
  • LinkedIn
  • Medium
PDF Version ↗
albarpambagio@gmail.com/
AP

About

Data analyst with hands-on experience building end-to-end analytics pipelines — from ETL and star schema design to interactive dashboards and time-series forecasting. Projects span FMCG procurement intelligence, pharmacy retail operations, and e-commerce marketing analytics. Strong foundation in Python, SQL, and business-oriented storytelling; background in UX design sharpens how I communicate findings to non-technical stakeholders.

Work Experience

PT Kautsar Inovasi Teknologi Digital

2020 - 2021

UX Designer

Designed user interfaces for school and learning management system products, translating user requirements into component specifications. Collaborated with developers to establish a shared design system, reducing implementation inconsistency across product lines.

Education

Universitas Terbuka

2022 - 2026
Bachelor of Management

Pacmann

2023 - 2025
Analytics & Data Science Program

Bangkit Academy (Google, Tokopedia, Gojek, Traveloka)

Feb 2024 - Jun 2024
Independent Study — Cloud Computing Cohort

Skills

Languages

  • Python
  • SQL
  • TypeScript

Data Stack

  • PostgreSQL
  • DuckDB
  • dbt
  • pandas
  • ETL Pipeline Design
  • Star Schema Modeling

Analysis & Forecasting

  • Exploratory Data Analysis
  • Time-Series Analysis
  • Forecasting (AutoARIMA, AutoETS)
  • Funnel Analysis
  • LTV Analysis

Visualization

  • Power BI
  • Recharts
  • Marimo

Infrastructure & Tools

  • Next.js
  • TypeScript
  • Cloudflare Pages
  • GitHub Actions
  • AI-Assisted Development

Projects

In Progress

Indonesia Food Price Intelligence
github.comalbarpambagio/indonesia-food-price-intelligence
May 25, 2026

Built a procurement intelligence tool for FMCG Category Managers sourcing rice, cooking oil, sugar, and flour across Indonesia. Analyzed 17 years of WFP price data across 224 markets to map seasonal spikes (Ramadan premium on sugar, Q2 harvest discount on rice), a 30% persistent price gap between Eastern Indonesia and Java for cooking oil, and a 3-month leading relationship between oil and flour prices. Includes a 6-month price forecast with explicit confidence intervals to guide procurement timing decisions.

  • Python
  • DuckDB
  • dbt
  • AutoARIMA
  • AutoETS
  • Next.js
  • Cloudflare Pages

Pharmacy Retail Sales Analytics
github.comalbarpambagio/pharmacy-retail-sales-analytics
May 18, 2026 — May 26, 2026

Analyzed a hospital pharmacy's full-year sales data to surface margin risk and inform 2016 procurement decisions. Identified 2 branded SKUs selling below cost and mapped revenue concentration patterns across inpatient and outpatient channels. Delivered a 3-page interactive dashboard — with a margin threshold slider and CSV export — for the Pharmacy Director and Finance team to act on product pricing and procurement priorities.

  • Dashboard ↗
  • Python
  • PostgreSQL
  • Next.js
  • Recharts
  • shadcn/ui
  • GitHub Actions
  • Cloudflare Pages

Olist Marketing Funnel: Channel Performance & LTV Analysis
github.comalbarpambagio/olist-marketing-report
May 8, 2026 — May 18, 2026

Investigated why Social — Olist's second-highest-volume acquisition channel — converted at only half the rate of Paid and Organic Search. Found the root cause in channel deal composition: Social's closed deals skewed nearly twice as heavy in high-maintenance seller profiles compared to other channels, a structural drag on conversion rather than a lead quality issue. Delivered a 4-page Power BI dashboard with channel LTV and funnel analysis to support VP Marketing budget allocation for Q3 2018.

  • Deck ↗
  • Python
  • PostgreSQL
  • Power BI

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