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Hello, I'm

Imammul Arif

Product Operations | Data Analyst | SQL Specialist

an Informatics graduate with 1.5+ years of professional experience in fintech and telecommunications, focusing on Product Operations, Data Analysis, Application Support, and Data Operations. Through my professional experience at Bank Raya and PLN Icon Plus, I have developed practical skills in investigating digital transaction issues, handling application incidents, performing SQL-based data validation, analyzing operational discrepancies, and identifying root causes across business applications and payment systems. I work with SQL, PostgreSQL, Microsoft SQL Server, Python/Pandas, Grafana, and Jira, with a strong foundation in incident management, database operations, and process improvement. Career Focus: Product Operations, Product Analysis, Business Analysis, Data Analysis, SQL Specialist, and Data Operations. I am continuously developing my technical and analytical capabilities to contribute to reliable digital services, efficient operations, and data-driven decision-making.

Bridging operations, data & technology.

I'm Imammul Arif, an Informatics graduate from Universitas Teknologi Yogyakarta with 1.5+ years of professional experience in fintech and telecommunications, focusing on product operations, data analysis, application support, and digital banking operations.

At PT Bank Raya Indonesia Tbk, I worked in Digital Problem Management, handling digital banking operational issues through transaction analysis, application troubleshooting, SQL-based data validation, root cause investigation, and coordination with internal teams and external banking partners.

Previously, at PLN Icon Plus, I gained experience in technical support, data processing, SQL-based validation, operational reporting, and process automation using Excel VBA.

My technical skillset includes SQL, PostgreSQL, Microsoft SQL Server, Python, Pandas, Microsoft Excel, Grafana, Jira, Confluence, and DBeaver. I have a strong interest in understanding digital products, analyzing operational data, improving business processes, and solving technology-related problems.

I am interested in opportunities across Product Operations, Product Analysis, Business Analysis, Data Analysis, SQL Specialist, and Data Operations, while continuing to strengthen my expertise in data analytics, cloud technologies, and AI/ML.

0+ Incidents Handled
0% Reported Resolution Rate
SQL Data & Database

Skills & tools for solving technical problems.

01

Application Support & Incident Management

Investigating application and transaction issues, analyzing incident data, supporting service restoration, and coordinating with relevant teams to help resolve operational problems.

Application Support Incident Management Problem Management Root Cause Analysis SLA Monitoring Grafana Jira Confluence
02

Digital Banking Operations

Supporting digital banking operations through payment investigation, transaction troubleshooting, operational monitoring, and reconciliation support across digital financial services.

Digital Banking QRIS BI-FAST Payment Processing Transaction Monitoring Reconciliation Customer Validation Data Patching
03

Database & Data Operations

Using SQL queries and data validation to investigate operational issues, verify records, support data corrections, and maintain data accuracy.

SQL PostgreSQL Microsoft SQL Server DBeaver Data Validation Data Troubleshooting Excel Excel Macro
04

Programming & Data Analysis

Applying programming and analytical techniques to process datasets, automate repetitive tasks, explore data, and build practical technical projects.

Python Pandas NumPy Data Cleaning Data Visualization Looker Studio HTML JavaScript
05

Professional Development

Building on my operational and data foundations through continued learning, technical projects, and structured training in emerging technologies.

Data Engineering Cloud Computing Machine Learning Generative AI Business Analysis

Things I've built & explored.

Ubuntu PostgreSQL Documentation
01 Database & Linux

Ubuntu PostgreSQL Documentation

A practical documentation project covering PostgreSQL installation, configuration, and database administration on Ubuntu. It includes user and privilege management, CRUD operations, and database backup and restore procedures to demonstrate foundational database management and Linux skills.

PostgreSQL Linux Database Management Access Control
View Project
Basic SQL
02 SQL & Database

Basic SQL

A hands-on SQL practice repository covering fundamental database operations, including table creation, data insertion, and data retrieval. The project demonstrates basic querying skills using PostgreSQL and MySQL, with a focus on understanding relational databases and working with structured data.

SQL PostgreSQL MySQL Database Management Query Optimization
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Data Preprocessing Pipeline
03 Data Engineering

Data Preprocessing Pipeline

A data preprocessing project focused on preparing datasets for machine learning workflows. It covers data cleaning, missing value handling, feature transformation, and dataset preparation using Python, Pandas, and NumPy.

Python Pandas NumPy Data Cleaning Feature Engineering ETL
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YouTube Tech Trends Analytics
04 Data Analytics

Most Popular 1000 YouTube Videos

A data analytics project exploring 1,000+ popular YouTube video records using SQL and Looker Studio. It focuses on querying and analyzing video data to identify patterns in content performance and present findings through data visualization.

SQL Looker Studio Data Pipeline Data Analytics Content Analytics
View Project
Data Science with Python
05 Data Science

Data Science with Python

A practical data science project focused on data processing, exploratory analysis, and data visualization using Python. It demonstrates the use of data analysis techniques to explore datasets, identify patterns, and derive insights that can support data-driven decision-making.

Python Data Analysis Google Colab Data Visualization
View Project
Smart Attendance with Face Recognition
06 Python / Computer Vision

Smart Attendance with Face Recognition/Detection

A university final project that implements a face recognition-based attendance system using Python and OpenCV. The system uses the Local Binary Patterns Histograms (LBPH) algorithm to recognize registered users and support automated attendance recording.

Python OpenCV LBPH Face Recognition
View Project
CNN Image Classification System
07 AI / Machine Learning

CNN Image Classification System

A deep learning project that uses a Convolutional Neural Network (CNN) built with TensorFlow and Keras to classify images into eight categories of natural scenes. The model achieved over 85% validation accuracy. The project also explores lightweight model deployment using TensorFlow Lite and TensorFlow.js.

Python Deep Learning TensorFlow Keras Computer Vision Image Classification
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Student Assessment Website
08 Web Development

Student Assessment Website

A web-based student assessment system developed as part of a university internship project. The application was designed to organize and present student assessment data in a structured digital environment, supporting more efficient access to academic assessment information.

Web Development Database HTML CSS
View Project
To-Do List Web Application
09 Web Development

To-Do List Web Application

A web-based task management application developed as a capstone project for the RevoU Software Engineering Mini Course. The application allows users to organize and manage daily tasks through a simple interface, demonstrating fundamental front-end development skills using HTML, Tailwind CSS, and JavaScript.

HTML5 Tailwind CSS JavaScript Git
View Project
My Portfolio Website V1.0
10 Web Development

TopUpKu — Game Top-Up Website

A game top-up website prototype designed to provide a simple and user-friendly experience for browsing game products, placing top-up orders, and tracking order history. Built with Next.js, TypeScript, and Supabase, featuring order management and email-based order recovery.

Next.js TypeScript Supabase Resend Tailwind CSS Web Development
View Project

Building my path in technology.

2007–2013

Elementary Education

SD Negeri 1 Dompu

Completed elementary education in Dompu, West Nusa Tenggara, building the foundation for further academic development.

2013–2016

Junior High School

SMP Negeri 1 Dompu

Continued formal education and developed foundational academic and problem-solving skills.

2016–2019

Senior High School

Natural Sciences 1 | SMA Negeri 1 Dompu

Studied in the Natural Sciences track, developing analytical thinking and a foundation in mathematics, science, and structured problem-solving.

2019–2023

Higher Education

Bachelor of Informatics | Concentration in Intelligent Systems - Universitas Teknologi Yogyakarta

Graduated with a Bachelor's degree in Informatics with a GPA of 3.14. Developed a foundation in programming, databases, information systems, and intelligent systems. Completed academic and practical projects involving web development and Python-based face recognition.

November 2023 - December 2024

Professional Experience

Technical Support | PT Indonesia Comnets Plus (PLN Icon Plus) | Jakarta, Indonesia

Worked in a corporate technology environment, handling technical incidents, data processing, SQL-based data validation, and operational reporting. Supported enterprise system operations, assisted with user migration, and developed process automation using Excel VBA to improve operational efficiency and data accuracy.

January 2025 – June 2025

Career Reflection & Personal Well-being

Career Direction & Personal Development

Took a period of personal recovery and reflection after completing my previous professional role. Focused on personal well-being, reassessing career goals, and identifying a clearer professional direction for the next stage of my career.

July 2025 – May 2026

Professional Development

Independent Learning & Technical Skill Development

Focused on strengthening technical foundations through independent learning, practical projects, and preparation for the next professional opportunity in the technology industry.

June 2026 - September 2026

Professional Experience | Fintech & Digital Banking

Product Operations | Digital Problem Management, Digital Operations Division - PT Bank Raya Indonesia Tbk | Jakarta, Indonesia

Supported digital banking product operations by investigating transaction-related incidents across QRIS, BI-FAST, interbank transfers, e-wallet services, and digital banking applications. Performed SQL-based data validation, investigated operational discrepancies, supported authorized data corrections, monitored application conditions through Grafana, and coordinated issue resolution with internal engineering teams and external banking and payment partners.

2026 →

Current Career Focus

Product Operations | Data Analyst | SQL Specialist

Focused on pursuing opportunities across Product Operations, Product Analysis, Business Analysis, Data Analysis, SQL Specialist, and Data Operations. Interested in leveraging experience in fintech operations, digital banking, SQL-based data analysis, application troubleshooting, and process improvement to support data-driven decisions and improve digital products and business operations.

Certificates & learning journey.

A collection of certificates and learning experiences that helped me grow my skills across development, data, and technology.

A little more about me.

Outside of technology and projects, I enjoy games, music, stories, and exploring different experiences that keep me entertained, curious, and inspired.

01

Gaming

I enjoy gaming in my free time, especially mobile games like Mobile Legends and games on PlayStation. I also enjoy RPGs, open-world adventures, and action games with intense combat and battle experiences.

02

Music

I listen to music depending on my mood. My playlist can range from Japanese pop, K-pop, and rock to anime songs and other music that I enjoy at the moment.

03

Learning

I enjoy learning new things and exploring technology, especially in data, programming, and other areas that help me grow and build something useful.

04

Stories

I occasionally watch Korean dramas, especially romance stories that I can relate to. I also enjoy anime, manhwa, and Webtoons, especially school romance, fantasy, and funny daily-life stories. I get especially excited when a story I love is adapted into another medium, whether from manga or manhwa into anime, or from anime and other stories into comics.

05

Exploring

I enjoy discovering new things, trying different experiences, and exploring ideas that catch my interest beyond my usual routines and interests.

06

Little Things

I have my own little preferences in everyday life. I'm not really a fan of bitter-tasting food, and I usually prefer flavors that are savory, sweet, or simply more enjoyable to me. It's the small things that make everyday experiences feel more personal.

Let's connect on what's next.

I am open to full-time and contract opportunities in Application Support, IT Operations, Digital Banking Operations, Database Support, and Data Operations. I bring experience in incident management, SQL-based troubleshooting, data validation, and digital payment operations. I am available to discuss suitable opportunities and professional collaborations.