> $ whoami
Data Analyst
I believe that every piece of data has a story, and my job is to transform those numbers into impactful insights. Through analysis, visualization, and modeling, I help organizations make smarter and more strategic decisions.
>_ about_me.txt
// Data Analytics Specialist
I am an Informatics Engineering student at Bina Insani University with a deep interest in Data Analysis and Data Science. I focus on how data can be processed into strategic information to support better decision-making.
Through various personal projects, I have gained experience in data cleaning, data exploration, SQL optimization, machine learning, and visualization using Power BI and Python. I enjoy working in project-based environments, collaborating across teams, and continuously sharpening my analytical skills and visual communication through interactive dashboards.
>_ my_education.json
Informatics Engineering
2022 - 2026Bina Insani University, Bekasi
Focusing on data analysis, machine learning, and AI fundamentals, with hands-on experience in real-world data projects. Developing end-to-end data solutions, from data preprocessing and exploration to modeling and visualization, to support data-driven decision-making.
Computer and Network Engineering
2019 - 2021PGRI Vocational High School, Bekasi
Background in computer networking (TKJ), with cross-functional skills in design and software engineering. Built foundational experience in networking, visual design, and application development through project-based learning.
>_ experience.log
Direktorat Sistem Pengadaan Digital - Data Analytic Intern
Oct 2025 - Des 2025Lembaga Kebijakan Pengadaan Barang/Jasa Pemerintah 📍 Jakarta, Indonesia
- → Collect and process procurement data from various sources (LPSE, RUP, e-procurement) for analysis purposes.
- → Clean and validate data (missing values, inconsistencies in tender values, package duplication).
- → Conduct Exploratory Data Analysis (EDA) to identify procurement patterns, budget efficiency, and tender trends.
- → Develop interactive dashboards (e.g., using Excel, Tableau, or Streamlit) to monitor procurement performance.
Emailing and Data Entry - Intern
Jan 2020 - Mar 2020Asuransi Astra Buana 📍 Jakarta, Indonesia
- → Read, sort, and respond to incoming emails as needed
- → Enter data into the system (Excel, Google Sheets, or an internal database)
- → Update data periodically (status updates, information revisions, etc.)
- → Follow up on emails (reminders, confirmations, or information updates)
>_ tech_stack.yaml
🤖 AI / Machine Learning
-
→
Python
Advanced • 5+ Projects
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→
Scikit-learn
Intermediate • 4+ Projects
-
→
NLP / TF-IDF
Intermediate • NewsGuard, PhishDetect
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→
RAG / FAISS
Intermediate • LegalSaathi
-
→
LLMs / Ollama
Intermediate • LegalSaathi, VertX
-
→
TensorFlow / PyTorch
Beginner • Learning
🎨 Frontend Development
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→
HTML / CSS / JavaScript
Advanced • 5+ Projects
-
→
React
Intermediate • NewsGuard, Portfolio
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→
Tailwind CSS
Intermediate • 3+ Projects
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→
Streamlit
Advanced • LegalSaathi, PhishDetect
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→
Responsive Design
Advanced • Mobile-First Approach
⚙️ Backend & DevOps
-
→
Flask
Intermediate • NewsGuard, VertX
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→
REST APIs
Intermediate • 3+ Projects
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→
Git & GitHub
Advanced • Active contributor
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→
Railway
Intermediate • NewsGuard backend
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→
Vercel
Intermediate • Front-end deployment
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→
EasyOCR
Beginner • LegalSaathi
🛠️ Tools & Platforms
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→
Jupyter Notebook
Advanced • Daily driver
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→
VS Code
Advanced • Primary IDE
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→
Google Colab
Advanced • ML experiments
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→
Figma
Beginner • UI Design
>_ execute_projects.exe
Berikut adalah beberapa proyek analisis data yang telah saya kerjakan, menunjukkan kemampuan dalam berbagai aspek data science dan analitik.
HR Analytics: Absenteeism & Wellness
Data Analyst Project
Dashboard interaktif Power BI untuk membantu HR memantau absenteeism, mengidentifikasi karyawan sehat untuk program bonus, dan menganalisis tren ketidakhadiran berdasarkan musim.
Department & Project Performance Dashboard
Data Analyst Project
Dashboard Power BI untuk memantau performa proyek dan departemen, mengidentifikasi proyek yang over budget, serta memvisualisasikan distribusi anggaran dan biaya gaji.
Restaurant Rating Detector
Data Science Project
Web app Streamlit berbasis ML untuk memprediksi kategori rating restoran (Poor – Excellent) berdasarkan fitur seperti harga, layanan pesan antar, dan reservasi meja.
Customer Segmentation (K-Means Clustering)
Data Science Project
Aplikasi segmentasi pelanggan berbasis K-Means Clustering yang mengelompokkan pelanggan ke 7 segmen (Premium, Digital, Fisik, dll.) berdasarkan perilaku belanja dan demografi.
DBT Cloud + BigQuery Data Transformation
Data Engineer Project
Pipeline transformasi data end-to-end menggunakan DBT Cloud dan Google BigQuery. Raw data di-staging di BigQuery, lalu ditransformasi menggunakan SQL models modular dan di-versioning via GitHub.
>_ certificates
Sertifikat dan penghargaan yang telah saya terima, tersedia dalam bentuk link dan PDF.
>_ get_in_touch.bat
Open to collaboration and new opportunities, feel free to connect.