Halo! Saya Imammul Arif, biasa dipanggil Imul. Seorang Informatics graduate dengan fokus pada pengembangan sistem berbasis data dan teknologi AI. Berpengalaman membangun solusi yang efisien, terstruktur, dan scalable melalui pendekatan data-driven development.⚡
Science major (2017 - 2019)
B.Sc. in Informatics / Computer Science (2019 - 2023)
Handled 400+ technical incidents with >95% SLA compliance, optimized database queries using SQL, automated reporting workflows reducing manual effort by 20%, and supported secure migration of 100+ users while maintaining data integrity.
Currently focusing on upskilling in data and software development while preparing for new career opportunities in the IT industry.
Supporting banking operations through technical troubleshooting, incident handling, user access management, and application support. Contributing to enterprise IT operations by maintaining service continuity, operational efficiency, and adherence to IT governance standards.
YouTube Tech Trends Analytics: Analyzed 1,000+ video records using SQL & Looker Studio to build data pipelines and deliver actionable content engagement insights.
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Deep learning project using Convolutional Neural Network (CNN) with TensorFlow/Keras to classify 8 categories of natural images. The model achieved over 85% validation accuracy and was optimized for deployment using TensorFlow Lite and TensorFlow.js.
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Face recognition-based attendance system using LBPH algorithm in Python for real-time automated attendance recording.
View Project →Have an idea, project, or collaboration in mind?
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