Education

• BASc. in Applied Statistics, Institute of Statistics (Politeknik Statistika STIS), Indonesia (2018 - 2022) — Specialized in Statistical Computing - Data Science

Professional

Data Scientist, BPS Pesawaran Regency, 2022 - present.

• Led comprehensive data processing operations for national labor force surveys at the regency level, and enriched these findings by analyzing big data from online news portals to validate trends and uncover underlying narratives.
• Directed mapping and geospatial data management for multiple large-scale surveys and national census projects at the regency level.
• Strategically managed the office's social media presence to enhance stakeholder engagement and improve public data literacy.
• Served as SPBE (Digital Transformation) Liaison Officer for the regency.
• Managed user access and system administration for various internal data processing applications.

Projects

• ClimateSmart Indonesia, is an AI-powered platform designed to predict outbreaks of climate-sensitive diseases using Artificial Intelligence. My role focuses on integrating diverse climate and health datasets to enable robust modeling and dashboard visualization. This initiative is a collaborative effort involving KORIKA, MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), the Institute for Health Modeling and Climate Solutions (IMACS), Ministry of Health of the Republic of Indonesia, and Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG). Korika (2025 - present). csi.korika.id
• Lamban Data Platform, LMS platform supporting statistical agent learning in village. BPS Kabupaten Pesawaran (2024 - present)

Publications and Proceedings

1. Prataba, G.D., Putra, Y.C. and Widodo, E.T. (2024), “Kontruksi Graf Pengetahuan pada Direktori Perusahaan menggunakan Basis Data Graf Neo4j”, Seminar Nasional Official Statistics, Vol. 2024 No. 1, pp. 895–906, doi: 10.34123/SEMNASOFFSTAT.V2024I1.2314.
2. Putra, Y.C., Wijayanto, A.W. and Chulafak, G.A. (2022), “Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image processing thresholding approach”, Ecological Informatics, Elsevier, Vol. 72, p. 101878, doi: 10.1016/J.ECOINF.2022.101878
3. Putra, Y.C. and Wijayanto, A.W. (2023), “Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning”, Remote Sensing Applications: Society and Environment, Elsevier, Vol. 29, p. 100914, doi: 10.1016/J.RSASE.2022.100914

Intellectual Property Right