About
Hi!, I’m a Geological Engineering graduate passionate about geoscience, data analytics, visualization, and AI. My journey started in mining exploration, GIS, and geological analysis, where I also gained experience in startup building through national programs.
Discovering AI became a turning point for me—it changed how I learn, structure my growth, and work on projects. From building my website to managing workflows, AI has helped me move faster and think more systematically.
Beyond the technical side, I’ve always had a strong sense of design. That’s why I enjoy transforming data into visuals and creative outputs, blending analysis with storytelling. For me, visualization and creativity are just as important as accuracy, because they make science easier to understand and share.
Education
Machine Learning & Data Analytics (Associate Track)
Stanford Online & DeepLearning.AI, Microsoft Learn, Dicoding, DQlab · 2025
Completed structured training in data analytics and machine learning, covering Python, SQL, visualization, exploratory data analysis (DQlab), ML model building (Dicoding), supervised and unsupervised learning with neural networks (Stanford/DeepLearning.AI), and core ML concepts including training, evaluation, and deployment (Microsoft).
BSc of Geological Engineering
Mulawarman University · 2017
Focus on structural geology, exploration, GIS, and modeling; thesis on anticline structural analysis in Palaran.
Work with Me
I collaborate at the intersection of geoscience and data, helping teams turn complex mapping and analysis challenges into clear, impactful visual stories.
Mapping, cartography, digitization, and spatial analysis for geoscience and environmental studies.
Research-driven storytelling and visuals that turn data into decisions.
Support across geoscience, data, design, and early-stage business development.
Build a durable professional brand with clear strategy and crisp visuals.
Contact
Let’s connect. Open to collaboration in geoscience, data, and visualization.
Favorite Songs
Tracks I often listen to while working, coding, or exploring ideas.