Dashboard for THÖR-MAGNI dataset.

An AI-powered fraud detection system that uses machine learning to detect suspicious financial transactions in real time. Features include interactive dashboards, secure authentication, and comprehensive reporting for fintech risk analysis.

This project analyzes user behavior in an ecommerce setting using BigQuery and Looker Studio. It tracks offer notification clicks, session activity, and purchase completions to identify how many users convert within the same session after engaging with an offer.

Project Final Data Analyst Bootcamp by Human Iniative x Dibimbing

I made a dashboard visualization of a few interesting aspects of the doctorates awarded in the US using `plotly`.

The purpose of the dashboard is to present a detailed visualization of company insight with historical performance, technical indicators and predict the upcoming volatility applying machine learning.

Comprehensive Sales & Customer Feedback record analysis at Café Harmony using advanced Excel analytics.

Dari memahami analisis data, visualisasi yang efektif, hingga penerapan strategi berbasis data untuk pengambilan keputusan bisnis yang lebih cerdas, semuanya menjadi pengalaman belajar yang sangat berharga

Security Information and Event Management (SIEM) system using ELK Stack for real-time threat detection and visualization. Monitors SSH authentication, web traffic, and firewall logs to identify SQL injection, brute force attacks, and path traversal attempts.

This project walks through a full customer shopping behavior analysis using real transactional data. It combines Python for data cleaning and exploration, SQL for deeper business queries, and Power BI for an interactive dashboard. The goal is to uncover purchase patterns, customer segments, revenue trends, and actionable insights from raw data.

Investly Frontend: A dynamic React-based interface providing users with intuitive dashboards, real-time investment insights, and portfolio recommendations.