Hello, I'm

Imammul Arif

Software Developer (Web & Data Engineering Enthusiast)

Foto Imammul Arif

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About

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.⚡

1+ Years Work Experience
6+ Completed Projects Projects
On-Site / Hybrid Work Style
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My Skills

Skills

Database Management System (DBMS) 90%
SQL Query 85%
Canva 85%
UI/UX Design 85%

Other Skills

#ITSM #IncidentHandling #SLA #ProblemSolving #AnalyticalThinking #DataAnalyst #EffectiveCommunication #FastLearner #TechnicalDocumentation

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Education

SMA NEGERI 1 DOMPU

Science major (2017 - 2019)

Universitas Teknologi Yogyakarta

B.Sc. in Informatics / Computer Science (2019 - 2023)


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Profesional Career

Junior Technical Support

PLN Icon Plus Nov 2023 – Dec 2024 | South Jakarta, Indonesia

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.

Career Transition

Career Break Jan 2025 – Mei 2026 | Dompu, West Nusra

Currently focusing on upskilling in data and software development while preparing for new career opportunities in the IT industry.

Information Technology Help Desk

PT Bank Raya Indonesia Tbk Jun 2026 – Present | South Jakarta, Indonesia

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.


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My Project

Project 1

1000 Most Popular YouTube Videos

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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Project 2

CNN Image Classification System

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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Project 2

Smart Face Attendance System using LBPH (2023)

Face recognition-based attendance system using LBPH algorithm in Python for real-time automated attendance recording.

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View All Project

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My Sertificate

Certificate 1

IBM : Introduction to Artificial Intelligence

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Certif 2

RevoU Coding Camp Mini Course: Software Engineering

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Certif 3

Dicoding: Generative AI Fundamentals

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Get In Touch

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