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WELCOME TO MY WORLD
Fresh Informatics graduate from Universitas Singaperbangsa Karawang with a focus on data analysis and data-driven decision-making. Experienced in academic and personal projects involving data processing, exploratory data analysis, and predictive modeling.
About Me
I'm Afriza, an Informatics graduate from Universitas Singaperbangsa Karawang with a genuine interest in data and the stories it can reveal. I enjoy exploring datasets, understanding patterns, and turning complex information into insights that are easier to understand and use.
My curiosity about data has led me to explore data analysis, visualization, and predictive modeling through academic and personal projects. I continue to strengthen my skills in SQL, Python, Power BI, and Excel while expanding my understanding of machine learning and data engineering.
Data Analysis Workflow
I use a combination of data and productivity tools to explore datasets, develop analyses, visualize insights, and streamline my workflow.
Eksplorasi & Analisis Data
Dashboarding & Visualisasi
Eksperimen Model ML
Problem Solving & Code Review
Problem Solving & Code Review
Career Journey
Bapenda Kabupaten Karawang
Karawang, Indonesia
Diesnatalis, Faculty of Computer Science — Universitas Singaperbangsa Karawang
Karawang, Indonesia
BEM Faculty of Computer Science — Universitas Singaperbangsa Karawang
Karawang, Indonesia
BEM Faculty of Computer Science — Universitas Singaperbangsa Karawang
Karawang, Indonesia
Featured Work
Memprediksi produktivitas dan produksi padi di 30 kecamatan Kabupaten Karawang menggunakan citra Sentinel-1, Sentinel-2, CHIRPS, dan MODIS melalui Google Earth Engine. Random Forest mencapai MAPE 7,2% dengan validasi LOYO, dengan kesesuaian estimasi produksi 2025 sebesar 97,5% terhadap data Dinas Pertanian.
Membangun pipeline forecasting penjualan mingguan pada level Store dan Department menggunakan dataset Walmart, dengan model dipilih melalui validasi kronologis. XGBoost menghasilkan holdout MAE 1.272 (WAPE 8,0%), dengan forecast produksi 39 minggu ke depan dijalankan secara recursive.
Menganalisis 3.000 transaksi e-commerce fashion (2022–2025), mengidentifikasi Rp1,49 miliar net order value dengan Rp229,16 juta (15,33%) revenue loss dari pembatalan dan retur. Kategori Jacket menyumbang revenue tertinggi sekaligus memiliki loss rate tertinggi, sementara uji chi-square menunjukkan tidak ada asosiasi signifikan antara metode pembayaran dan status order (p = 0,44).
Membangun pipeline ETL untuk mengolah data transaksi retail dari proses ingestion hingga penyimpanan terstruktur di PostgreSQL. Data dibersihkan dan ditransformasi menggunakan Python, kemudian dianalisis dengan SQL untuk menghasilkan insight mengenai penjualan, produk, dan customer behavior.
Continuous Learning
Training focused on Python, data exploration, data cleansing, and foundational machine learning techniques.
Learned fundamental machine learning concepts, including data preparation, model development, evaluation, and optimization.
Training focused on data science workflows, analytical problem solving, and the application of data-driven approaches.
Developed a foundational understanding of artificial intelligence concepts and their practical applications.
Data Analyst
Have a data project in mind or want to discuss a research collaboration? I'm open to opportunities in data analysis, internships, freelance projects, and collaborative work.