01 // About

I work where operational reality meets practical data engineering. Instead of focusing only on pre-cleaned sandbox datasets, my background comes from fast-paced, high-volume production facilities—where data usually starts fragmented across desktop spreadsheets, handwritten tallies, or rigid ERP ledgers.

Over the past few years, I have built central data pipelines from scratch, scaled database architectures to prevent local file crashes, and supported enterprise ERP deployments. I specialize in identifying where numbers deviate from physical reality, automating manual reporting routines, and turning operational logs into interactive BI dashboards that decision-makers actually rely on.

Today, my focus centers on building reliable data pipelines, operational modeling, and actionable business intelligence. I am actively open to full-time opportunities and strategic projects where practical field knowledge and clean analytics drive measurable business impact.

02 // Experience

Data Analyst • Independent Consultant (Project-Based)

Jul 2026 – Sept 2026

Investment Advisory Engagement • Remote

  • Performed business data audits and exploratory queries using SQL and Python to evaluate investment targets.
  • Validated raw commercial and transactional ledgers for completeness, flagging inconsistencies and data gaps prior to executive review.
  • Reconciled reporting discrepancies across historical operational records.
SQL Python Data Auditing Exploratory Analysis

Data Analyst & Operations Planner

Jul 2025 – Jun 2026

PT Indonesia Livestock Operations • Lampung & Tangerang

  • Managed sales, inbound livestock schedules, and raw material demand projections across feedlot facilities.
  • Supported enterprise Microsoft Dynamics 365 rollout: validated opening balances, established data hygiene protocols, and conducted repetitive transaction training.
  • Solved local laptop Excel crash limits by deploying an Azure PostgreSQL cloud database linked to automated Power BI dashboards and Power Automate alert triggers.
  • Monitored plan vs. actual variances across purchasing, storage, and milling to prevent supply chain bottlenecks.
Microsoft Dynamics 365 Azure PostgreSQL Power BI Power Automate Operations Planning

Operations Analyst & Planning Lead

May 2024 – Jul 2025

PT Indo Prima Beef • Central Lampung

  • Promoted twice within 12 months from operations analyst to planning section lead.
  • Built cloud warehouse from zero: wrote Google Apps Script to ingest standardized Google Sheets data into Google BigQuery, connected to auto-updating Looker Studio dashboards.
  • Audited administrative transaction entries in Tally ERP to eliminate discrepancies between physical stock and digital records.
  • Modeled daily feed formulation plans and ration adjustments to optimize weight gain and maintain cost efficiency.
Tally ERP Google BigQuery Google Apps Script Looker Studio Ration Modeling

03 // Featured Projects

Production data models, executive web storyboards, and interactive dashboards.

Click preview to launch ↗
Agribusiness Analytics 15,000 Head • 90 Lots

Commercial Beef Feedlot Operations & Closeout Economics

Investigated closeout margin dynamics, carcass tonnage vs. quality grid arbitrage (yield beating marbling premiums), winter thermal drag mitigation in sheltered barns, and the financial impact of the 30-day BRD treatment window. Engineered with custom Star Schema architecture.

feedlot-management.live • Alberta, Canada Live
Commercial Beef Feedlot Operations Dashboard
Tableau Desktop Star Schema Closeout Economics Bento UI
Poultry Integration Analytics 72 Flocks • 1.78M Birds

Commercial Broiler Operations Hub & Performance Index

Audited commercial performance divergence between Closed House and Open House units. Analyzed net margin differences (+Rp 4,762/kg in closed houses), microclimate heat stress (feed dissipation vs. growth), late-mortality timing, and the European Performance Index (EPEF / IP).

smart-broiler.live • 4,031 Tons Harvested Live
Commercial Broiler Operations Hub Dashboard
Tableau Desktop SQL & Python EPEF Modeling Closed vs Open
Commercial Workforce Analytics 2,000 Employees • 24 Stores

Retail Workforce Productivity & Attrition Analysis

Evaluated store-level labor cost structures, store format productivity, and employee turnover. Quantified micromanagement attrition risk (49% peak under micromanagement), evaluated scheduling efficiency across retail formats, and mapped retention across the 9-Box grid.

retail-workforce.live • 24 Stores Live
Retail Workforce Productivity Dashboard
Tableau Desktop Star Schema 9-Box Grid Attrition Risk
Market Intelligence & Consumer Analytics 1,204 Brands • 598,891 Reviews

Indonesian Beauty & Skincare Market Intelligence

Evaluated product scores, consumer review volumes, and brand competitive positioning across Indonesian skincare categories scraped from FemaleDaily. Modeled category distributions, product score leaders, and reviewer density.

public.tableau.com • FemaleDaily Intelligence Tableau
Indonesian Skincare Market Intelligence Dashboard
Tableau Public Market Intelligence Sentiment & Ratings FemaleDaily Data

04 // Systems & Solutions

Automated Cloud Ingestion: Google Sheets to BigQuery

When an operation relied on decentralized sheets across various department laptops, daily reporting was manually compiled and error-prone. I standardized data entry structures, authored automated ingestion triggers using Google Apps Script to pipe verified daily rows directly into Google BigQuery, and built auto-updating Looker Studio dashboards for live executive monitoring.

Google BigQuery Google Apps Script Looker Studio Automated ETL

Overcoming Excel Workbook Memory Limits with Azure PostgreSQL

As daily transaction history scaled into tens of thousands of rows, master Excel workbooks regularly froze and crashed local office machines. I migrated storage and heavy aggregation queries to an Azure PostgreSQL cloud database, exposing clean SQL views that connected seamlessly to lightweight Power BI reporting models and alert triggers via Power Automate.

Azure PostgreSQL Power BI Power Automate SQL Views

Least-Cost Feed Formulation & Resource Optimization

Raw material feed costs represent the largest expense category in livestock operations. Leveraging background in animal nutrition and quantitative trial modeling, I built mathematical formulation sheets that balanced essential nutrient requirements (crude protein, energy, minerals) against volatile commodity ingredient prices to protect operating margins.

Linear Optimization Animal Nutrition Cost Modeling

05 // Skills & Stack

Data & Cloud Infrastructure

PostgreSQL (Azure) Google BigQuery MySQL Star Schema Modeling ETL Pipeline Design

Business Intelligence & Visualization

Tableau Desktop & Public Power BI Looker Studio Advanced Excel (Power Query) Python (Pandas, NumPy)

Enterprise ERPs & Operational Systems

Microsoft Dynamics 365 Tally ERP Material Requirements Planning (MRP) Inventory Reconciliation Google Apps Script Power Automate

06 // Background

Universitas Gadjah Mada (UGM)

2016 – 2023

Bachelor of Animal Science and Industry

Served as Researcher & Laboratory Assistant at the Animal Nutrition Lab (2018–2021). Handled biological feeding trials, trial experiment design, and quantitative statistical validation using SPSS and Excel.

Certifications

  • • DQLab Data Science Trainee (Python, MySQL)
  • • SQL & Data Analytics Certifications
  • • Kaggle Data Contributor

Languages

  • English: Professional Working (B2)
  • Indonesian: Native
  • Javanese: Native

07 // Contact

Get in Touch

I am open to full-time roles, contract work, and consulting projects in data analytics, cloud pipelines, and operations planning. Feel free to reach out directly:

Jepara, Central Java, Indonesia Remote / Relocation
Rama Wijaya
Projects Chat Email
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