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Yonatan Elias
@gmanonline95
Äthiopien
Amharisch, Englisch, Deutsch
Über mich
Computational Data Scientist (MSc) and engineer specializing in geospatial data engineering, GIS automation, and custom ML.
I turn raw spatial and tabular data into actionable metrics, custom Python/GeoPandas tooling, and robust data pipelines. When projects require deep learning, I adept at adapting PyTorch models for the task. I also work full-stack across Next.js, Node.js, and PostgreSQL as well as with Tauri 2.0 for desktop apps.
Expect fast communication, clean documented code, and honest timelines. I deliver solutions that actually work.
Kompetenzen
Yonatan Elias
offline •
Meine Dienstleistungen
Datentechnik
I will automate your geospatial data processing and analysis workflow
Portfolio
Arbeitserfahrung
GNSS Data & Systems Engineering Support
Addis Ababa University • Freiberufler
Jun 2026 - Jun 2026 • 0 mos
• Architected and deployed a GNSS server from the ground up to support departmental geophysics and space science research operations, achieving stable, continuous operation for the duration of the engagement. • Executed structured data entry and quality-assurance processing for raw GNSS datasets to ensure accuracy for downstream academic analysis.
Machine Learning / Data Science Consultant (Master’s Thesis)
International Livestock Research Institute (ILRI) • Vollzeit
Aug 2024 - Jun 2026 • 1 yr 10 mos
• Engineered and optimized a custom deep learning generative adversarial network (U-Net GAN) from scratch in PyTorch to achieve high-fidelity spatial super-resolution of temperature and geospatial datasets. • Designed compute-efficient training and evaluation pipelines using statistical and dynamical interpolation on local GPU/CPU hardware, resulting in more accurate microclimate predictions and actionable insights for urban heat-island mitigation
Digitizer / GIS Data Expert
MIYA • Vollzeit
Sep 2022 - Oct 2023 • 1 yr 1 mo
• Extracted and preprocessed geospatial data from Google Maps and related services using Python scripts, reducing dataset size and delivering concise manager reports • Programmed automation scripts for task-specific preprocessing and management of large datasets, compressing workflows that previously took months down to one to two weeks. • Assisted in building GIS pipelines, managing an Oracle OS GIS database, and writing custom query scripts for multi-departmental data calls.
