CV

Education & Courses

• Jul 2024 — B.Sc. in Geophysics (Cum Laude), Gadjah Mada University
• Jul 2023 — Machine Learning Specialization, Bangkit Independent Study Program, Bandung

Work Experience

• Apr 2025 – Present — Data Management Intern, Pertamina–Medco E&P Tomori Sulawesi, Jakarta
  • Developed and QA‑tested a web app for subsurface data management (TPDM).
  • Conducted weekly user‑quality control (UQC) testing and provided feedback to refine system features.
  • Developed and integrated ML model for synthetic sonic log generation into Geolog custom Loglan script with Python.
• Jan 2024 – Apr 2025 — Research Geophysicist, Geoseismal Research Center, Yogyakarta
  • Built ML models (using PyTorch, SciKitLearn, Pandas, NumPy) for DTP/DTS log prediction and pore‑pressure estimation in collaboration with Pertamina Hulu Mahakam.
  • Developed backend modules on Dataiku DSS for deep‑learning–based fault analysis with Pertamina Hulu Rokan.
  • Contributed to Mahakam Integrated Fluid Interpretation (MIFI) improvements via Python & Loglan scripting.
• Oct 2023 – Jun 2024 — Thesis Student Intern, Pusat Survei Geologi (PSG), Bandung
  • Researched Low‑Frequency Passive Seismic (LFPS) on Majalengka Sub‑basin and developed the open‑source lfpspy package.
  • Delivered hands‑on training in LFPS processing to PSG staff and fellow interns.
• Feb 2023 – Jun 2023 — Student Intern, BMKG Geophysics Station, Yogyakarta
  • Analyzed community preparedness for the Tsunami Ready Community program in Sindutan Village.
• Jun 2022 – Nov 2022 — Software Developer Intern, Geoseismal Research Center, Yogyakarta
  • Built FiQCi, a Python‑based field‑QC tool for LFPS acquisition with both backend and frontend interfaces.

Projects

• Sonic Log Prediction using ML in the Volve Field (Jun - Jul 2025)
  Developed Machine Learning model for synthetic sonic log (DT & DTS) generation using Dataiku DSS.

• lfpspy (Aug - Oct 2024)
  An open‑source Python package for Low‑Frequency Passive Seismic processing, available on GitHub.

• Field Camp Data Research, SEG UGM SC, Dieng (Nov 2022 – Sep 2023)
  Conducted field surveys for landslide potential, acquired microseismic data, and produced a microzonation map.

Achievements

• 1st Winner, IGTV Competition, Green Earth Challenge (GEC) 2022, Malang

Skills & Tools

• Languages: Bahasa Indonesia (Native), English (Professional Working Proficiency)
• Skills: Geophysics, Machine Learning, Data Science, Data Analytics, Backend Developer
• Programming Languages: Python, C#, SQL
• Software Proficient: Geolog, VS Code / Visual Studio, SQL Server Management Studio, Dataiku DSS, PowerBI, GitHub, Adobe Photoshop, Premiere Pro

Certifications

• Google Data Analytics Specialization (Google, Coursera)
• Machine Learning Specialization (Stanford University, Coursera)
• TensorFlow Developer Specialization (DeepLearning.AI, Coursera)
• Dataiku Core Designer & Dataiku ML Practitioner (Dataiku Academy)
• Code in Place 5 (Stanford University)