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imammularif/README.md

👋 Hi, I'm Imammul Arif

Product Operations | Data Analyst | SQL Specialist

I'm a Bachelor of Informatics graduate from Universitas Teknologi Yogyakarta with an interest in product operations, data analytics, SQL, and application support.

I enjoy working with data and technology to investigate problems, validate information, understand operational processes, and develop practical solutions. My technical interests include SQL, Python, relational databases, data processing, application monitoring, and reporting.

I'm particularly interested in connecting data, technology, products, and business operations to support better decisions and more reliable processes.

🎯 Professional Focus

  • Product Operations: Product monitoring, operational analysis, incident management, and process improvement.
  • Data Analytics: Data exploration, data cleaning, data validation, processing, and reporting.
  • SQL & Database Operations: SQL querying, relational databases, data investigation, and data integrity.
  • Application Support: Application monitoring, troubleshooting, and problem investigation.
  • Business & Technology: Understanding operational needs and translating problems into practical technical solutions.

🛠️ Technical Skills

💻 Programming & Development

Python SQL JavaScript TypeScript HTML5 CSS3

📊 Data Analytics & Processing

Pandas NumPy Excel Data Analysis Data Cleaning Data Validation

🗄️ Database & SQL

PostgreSQL Microsoft SQL Server MySQL Oracle BigQuery Supabase

⚙️ Product Operations & Application Support

Jira Confluence ITSM Incident Management Problem Management Root Cause Analysis Grafana

📈 Business Intelligence & Reporting

Looker Studio Microsoft Excel

☁️ Cloud & Data Engineering

Google Cloud ETL Data Migration Docker

🌐 Web Development & UI/UX

Next.js React Tailwind CSS Figma

🤖 Artificial Intelligence & Machine Learning

Scikit Learn TensorFlow OpenCV Machine Learning

🔧 Tools & Development Environment

Git GitHub VS Code Jupyter DBeaver Linux

⭐ Featured Projects

Project Description Tech Stack
🎮 TopUpKu Game top-up website prototype featuring game catalogs, order management, checkout, order history, and email-based OTP order recovery. Next.js, TypeScript, Supabase, PostgreSQL, Resend
📊 YouTube Analytics Dashboard Interactive dashboard exploring trends, engagement, and performance metrics from 1,000 popular YouTube videos. Looker Studio, Data Visualization, CSV
⚙️ Data Preprocessing Pipeline ETL pipeline covering data cleaning, transformation, validation, and loading. Python, Pandas, SQLite, GCP
🎯 Smart Attendance System Undergraduate thesis project implementing face recognition for attendance management. Python, OpenCV, Tkinter, Pandas
📸 Natural Image Classification Image classification model using convolutional neural networks. Python, TensorFlow, Keras
🌐 Personal Portfolio 2.0 Personal portfolio showcasing technical interests, capabilities, and projects. HTML, CSS, JavaScript

📊 GitHub Statistics

GitHub Streak

🎓 Education

Universitas Teknologi Yogyakarta

Bachelor of Informatics (S1 Informatika) | 2019 – 2023

  • Academic Concentration: Intelligent Systems
  • Undergraduate Thesis: Smart Attendance System Using LBPH Face Recognition with Python.
  • Graduation: July 2023.

📬 Connect With Me

"Good data tells a story. Great data drives decisions."

Building better solutions through data, technology, and continuous improvement.

Pinned Loading

  1. task-management-app task-management-app Public

    A responsive task management web application built with HTML5, JavaScript, and Tailwind CSS, featuring dynamic task creation, completion tracking, and task deletion.

    HTML

  2. Most-popular-1000-Youtube-videos Most-popular-1000-Youtube-videos Public

    An interactive business intelligence dashboard built with Google Looker Studio to analyze global YouTube trending videos, audience engagement, content categories, and upload trends.

  3. natural-image-classification natural-image-classification Public

    A deep learning project using Python, TensorFlow, and CNN to classify natural images into 8 categories, with data augmentation, model evaluation, and cross-platform model export.

    Jupyter Notebook

  4. Data-Preprocessing-Pipeline Data-Preprocessing-Pipeline Public

    A Python-based ETL pipeline using Pandas and NumPy to automate data extraction, cleaning, transformation, and loading into structured databases and analysis-ready datasets.

    Python

  5. My-Certificates My-Certificates Public

    A curated collection of professional certificates, courses, and technical training in Data Analytics, SQL, Python, AI/ML, Cloud Computing, and Software Engineering.

    1

  6. portfolio-V2.0 portfolio-V2.0 Public

    Personal portfolio showcasing my professional experience, technical skills, data projects, and journey in Data & Technology. Built with HTML, CSS, and JavaScript.

    CSS