Moh Adzka Fawaid

Bachelor of Informatics Engineering

Graduated in 3.5 years • GPA 3.61/4.00

Focused on artificial intelligence, machine learning, computer vision, software engineering, and data analytics.

Contributed to the development and maintenance of enterprise software across four projects (VHP, NT8, Rock Imager, and Formulator) using Python, FastAPI, C#, and .NET. Worked on debugging, automation, framework migration, and feature implementation to improve system reliability and performance.

Processed and analyzed more than 170,000 operational records using Python and SQL. Built KPI dashboards with Microsoft Power Platform, performed exploratory data analysis (EDA), and automated reporting workflows to support data-driven business decision-making.

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Developed a deep learning model for flood image segmentation using U-Net with a ResNet50 backbone. Contributed to data preprocessing, model training, evaluation, and research documentation, strengthening expertise in machine learning and computer vision.

Developed a Web GIS application using Flask and MySQL. Performed data cleansing, transformation, migration, and REST API development while ensuring data quality and integrity across geospatial systems.

Led the development of the official BEM KM UDINUS website and an NFC-based attendance management system using Laravel. Coordinated the planning, implementation, and deployment of digital platforms to improve organizational operations, member engagement, and administrative efficiency.

Developed a Laravel-based marketplace platform for local community products and an IoT monitoring platform using React.js, Express.js, and Python. Contributed to digital commerce and smart farming initiatives that supported community empowerment and technology-driven local development.

Served in multiple leadership roles, including Expert Staff, Head of the Supervisory Board, and Honor Council member. Oversaw organizational governance, policy evaluation, internal supervision, and accountability reporting to strengthen transparency, compliance, and institutional effectiveness.

Mentored students in a one-month Data Analyst Bootcamp focused on Python, data preprocessing, machine learning, and model evaluation. Supported research activities in data science and analytics while guiding participants in solving real-world problems through data-driven approaches.