Dashboard for THÖR-MAGNI dataset.

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.

🧠 Observe Data → 📥 Collect → 🧹 Clean → 🔗 Model → 🧮 Calculate → 📊 Visualize → 🎛️ Interact → 🎯 Analyze → 📖 Story → 💡 Insight → 🚀 Decision.

Project Final Data Analyst Bootcamp by Human Iniative x Dibimbing

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

A fully dynamic Fishbone (Ishikawa) Analysis custom visual for Power BI built using TypeScript and D3.js, featuring responsive layout, zoom/pan, and enterprise-grade scalability for root cause analysis.

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

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

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.

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.

🧠 Observe Data → 📥 Collect → 🧹 Clean → 🔗 Model → 🧮 Calculate → 📊 Visualize → 🎛️ Interact → 🎯 Analyze → 📖 Story → 💡 Insight → 🚀 Decision

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

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.

🧠 Understand Business Problem → 📥 Retail Sales Data → 🧹 Clean & Transform Data → 🔗 Build Data Model → 🧮 Create DAX Measures → 📊 Design Interactive Dashboard → 🎛️ Apply Filters & Slicers → 🎯 Analyze Sales Performance → 📖 Tell Data Story → 💡 Generate Business Insights → 🚀 Drive Smart