Looking for a job

Fabyola Larasati Masyita

@fabyolalarasatimasyi

Data Analyst at PT Pamapersada Nusantara who built greenfield mining reporting systems and analyzes FMS data for PT Vale Indonesia.

Indonesia

Message

What I'm looking for

I'm open to relocating to Jakarta or working remotely.

At PT Pamapersada Nusantara, I work on scientific and operational analytics for coal and nickel mining operations. For PT Indominco Mandiri, I analyzed delays, cycle times, and bottlenecks using SQL and root cause analysis, contributing to a 48% increase in production revenue over six months.

For Hengjaya Mineralindo’s greenfield site, I set up data and analytics workflows from scratch, including reporting templates, production calculations, and equipment performance tracking. I also aligned project teams from operational subordinates to top management.

On the PT Vale Indonesia project, I analyze Fleet Management Systems and Auto-Dispatch telemetry, validate data, and develop automated reporting with Python, Power Query, Power BI, and SSRS Report Builder. My research on heavy-duty mining haul truck fuel efficiency was presented at EECSI 2026, and I’ve also built Power BI dashboards for retail and sales analytics.

Experience

Work history, roles, and key accomplishments

Current

Scientific Analytic Expert

Current

PT Pamapersada Nusantara

Apr 2023 - Present (3 years 7 months)

Lead scientific and operational analytics for coal and nickel mining operations, applying data science methods to improve production performance, cost efficiency, and decision-making quality. Served three major mining clients with distinct operational characteristics.

SQL Power BI Tableau Microsoft Report Builder (Paginated Reports)Python Root Cause Analysis Fleet Management Data Validation Stakeholder Management

Education

Degrees, certifications, and relevant coursework

Bina Nusantara University

Master of Computer Science, Informatics Engineering

2025 -

Grade: 3.98 / 4.00

Pursuing a Master of Computer Science with a focus on Data Science, Machine Learning, and Enterprise Data Management. Achieved a GPA of 3.98 out of 4.00.