Moh Adzka Fawaid

Developed and maintained a Laravel-, PHP-, and MySQL-based ERP QAD Audit Utility dashboard to support transaction monitoring, program utilization analysis, anomaly detection, user access mapping, and data visualization for internal audit operations.

Contributed to the development and maintenance of software across 4 projects (VHP, NT8, Rock Imager, and Formulator) using Python, FastAPI, C#, and .NET. Involved in system analysis, debugging, automation, framework migration, and feature implementation to improve application reliability.

Developed a Laravel-based marketplace platform for local community products and an IoT monitoring platform using React.js, Express.js, and Python to support digital commerce and smart farming initiatives.

Led the development of the official BEM KM UDINUS website and an NFC-based attendance management system using Laravel. Supervised system implementation, deployment, and coordination with the development team to ensure successful delivery.

Contributed to AI research within the Intelligent Distributed Surveillance Security (IDSS) project, developing a deep learning model for flood image segmentation using U-Net with ResNet50. Also developed a genetic algorithm-based service placement approach for edge computing and participated in the end-to-end machine learning pipeline.

Contributed to organizational governance through policy evaluation, performance oversight, and report preparation to strengthen accountability and transparency within the student legislative organization.

Served as a mentor in a one-month Data Analyst Bootcamp, guiding students in Python programming, data preprocessing, machine learning model development, and model evaluation. Contributed to Data Science and AI research while mentoring participants in applying data-driven approaches to solve real-world case studies.

Worked as a Data Analyst Intern in the Business Growth & Analytics division, processing and analyzing more than 170,000 operational records using Python and SQL. Performed exploratory data analysis (EDA), developed KPI dashboards with Microsoft Power Platform, and automated reporting workflows to generate actionable insights.

Developed a Web GIS application using Flask and MySQL. Performed data cleansing, validation, transformation, and migration from Microsoft Excel to MySQL databases, while contributing to REST API development and ensuring data quality and consistency.

Associate Data Scientist certification from BNSP, valid from April 2026 to April 2029.

Grade: 3.61/4.0

Bachelor of Informatics Engineering, graduated in 3.5 years with a cumulative GPA of 3.61/4.0.

Completed NVIDIA training on getting started with deep learning.

Completed NVIDIA training on accelerating end-to-end data science workflows.

Participated in ASEAN Data Science Explorers 2024, focusing on SAP Analytics Cloud and SAP Build Apps.

Completed DQLab project on business decision research for data analysts.

Completed DQLab course on data science in marketing, specifically customer segmentation with Python.