Bachelor's degree graduate in Data Science from Sumatra Institute of Technology with a strong focus on Data Engineering and Data Science. Experienced as a Research Assistant at the National Research and Innovation Agency, working with structured datasets, data processing, analysis, and research-driven data needs. Proficient in Python, SQL, databases, ETL pipelines, big data analytics, and data architecture design for developing scalable and well structured data solutions. Applies a structured analytical and engineering approach to transform data into actionable insights that support data driven decision making in real world projects.
Pusdatin - Ministry of Primary and Secondary Education·May 2026 - August 2026Learned the end-to-end data science workflow, including data preprocessing, analysis, modeling, evaluation, and visualization.
Practiced Python for data analysis, machine learning, and data visualization.
Built data visualizations to communicate insights and support decision-making in the education sector.
Learned cloud computing fundamentals for scalable data storage, processing, and deployment.
Explored the use of data science and cloud computing to support policy, monitoring, and government decision-making.
National Research and Innovation Agency (BRIN RI)·Juny 2025 - August 2025Processed large-scale spatial big data from satellite imagery to support geospatial analysis and land cover classification.
Developed an end-to-end machine learning workflow for rice phenology and land cover classification using Sentinel-2A satellite imagery.
Evaluated 3 models across 3 dataset scenarios with 3 spectral indices.
Achieved 87.26% accuracy and 83.61% Kappa score using Random Forest.
Integrated model outputs into a web-based application with interactive maps using the Google Earth Engine API.
Projek Sains Data·Juny 2023 - January 2024
Project-Based Virtual Intern : Data Engineer Bank BTPN Syariah x Rakamin Academy·january 2024 - February 2024
CV.Naistudio·juny 2021 - August 2021Happy Syahrul Ramadhan, Ahmad Sahidin Akbar, Karin Yehezkiel Sinaga, Luluk Muthoharoh, Ardika Satria, Martin Clinton Tosima Manullang
arXiv preprint arXiv:2604.27439 • 2026
DOI: https://doi.org/10.48550/arXiv.2604.27439Happy Syahrul Ramadhan, Haikal Dwi Syaputra, M Syamsuddin Wisnubroto, Fajri Farid, Dhafin Razaqa Luthfi
Jurnal RESTIKOM: Riset Teknik Informatika dan Komputer • Vol. 8, No. 1, April 2026, pp. 515-525 • 2026
DOI: https://doi.org/10.52005/w48ger13Happy Syahrul Ramadhan
Repository Institut Teknologi Sumatera • 2026
Wawan Hendriawan Nur, Natasya Ega Lina Marbun, Nabila Anilda Zahrah, Farahanum Afifah Ardiansyah, Akmal Faiz Abdillah, Happy Syahrul Ramadhan, Oktavia Nurwenda Puspita Sari, Titan Listiani
2025 International Conference on Computer, Control, Informatics and its Applications (IC3INA) • 184-189 • 2025
DOI: 10.1109/IC3INA68387.2025.11325660Faculty of Science Data Warehouse is a data engineering project designed to build a centralized data integration system based on Medallion Architecture. This system processes data from multiple sources through an automated ETL pipeline, stores the data in a PostgreSQL Data Mart, and presents analytical insights through an interactive Apache Superset dashboard to support data-driven decision-making
Rice phenology classification system based on Sentinel-1 imagery using a Geo-AI approach, Python, Random Forest, and Flask API, achieving 87% accuracy to support automated rice growth-stage analysis.
Automated Attendance System Using Face Recognition is a web-based attendance solution powered by Computer Vision, Dlib Facial Landmark Detection, and Dlib's ResNet-based Face Recognition Model. It performs real-time face recognition and automatically records attendance with high accuracy, enhanced security, and improved operational efficiency.
Budgetin AI is a smart financial management application that helps users record income and expenses, monitor balances in real time, manage data through Excel import/export, and ask financial questions using an AI assistant. This app is designed to make financial management easier, faster, and smarter
Integrated web-based livestock monitoring system using IoT sensors and ESP32-CAM to track ammonia, light intensity, temperature, and humidity in real time
Sistem Retrieval-Augmented Generation (RAG) untuk dokumen PDF menggunakan Google Gemini Embedding, ChromaDB, dan Groq LLM. Dilengkapi dengan evaluasi metrik dan visualisasi performa.