BAGHIZ ASSHIDDIQIE ARASYA — Data Analyst based in Indonesia.
I turn raw data into decisions: data cleaning, analysis, and interactive Power BI dashboards. Most of my work uses Indonesian public data (BPS, PIHPS/Bank Indonesia, USGS/BMKG) and classic business datasets. Every featured project ships with documented data sources, reproducible code, a portfolio deck, and a Power BI kit (star schema + DAX measures), so anyone can rebuild the dashboard and verify the numbers.
- Languages & libraries: Python (pandas, NumPy, scikit-learn, matplotlib), SQL
- BI & spreadsheets: Power BI (DAX, star-schema modeling, PBIP), Excel, Google Sheets
- Data platform: Google BigQuery
- Workflow: Git & GitHub, Jupyter
| Project | Headline finding |
|---|---|
| IPM Indonesia 2026 — Indeks Pembangunan Manusia | IPM 2025 naik ke 75,90 (kategori Tinggi), +3,09 poin sejak 2020; jurang antarprovinsi 30,14 poin (DKI Jakarta 85,05 vs Papua Pegunungan 54,91) |
| Inflasi Indonesia 2026 | Inflasi yoy Sep 2026 sebesar 3,28% (di dalam sasaran BI); puncak 5,95% pada Sep 2022 bulan kenaikan BBM; 150 kab/kota, rentang 8,01 poin |
| Kemiskinan & Ketimpangan Indonesia 2026 | Kemiskinan Mar 2026 turun ke 8,07% (22,93 juta jiwa), terendah 2019–2026; tertinggi Papua Tengah 30,41%, terendah Bali 3,44% |
| Harga Pangan Nasional 2026 | Minyak goreng naik tertinggi, +6,8% ke Rp22.158/kg pada 2026; disparitas harga antarprovinsi 36–41% |
| Gempa Bumi Indonesia 2026 | 9.600 gempa M≥4,5 pada 2015–2026; terbesar M7,8 di Ende, NTT; wilayah teraktif Halmahera & Maluku Utara (2.061 kejadian) |
| Pariwisata Indonesia 2026 | Wisman 2025 pulih ke 15,39 juta kunjungan (95,5% dari level 2019); wisnus 1,2 miliar perjalanan, 78 kali lipat wisman |
| Harga Cabai Indonesia 2026 | Cabai rawit merah 2026 rata-rata Rp75.219/kg (+14,3%), puncak Rp105.450 pada 20 Okt 2026 |
| Pengangguran Indonesia 2026 | TPT 4,65% (Mei 2026); pengangguran lulusan SMK tertinggi 7,68%; pekerja formal hanya 40,58% |
| ISPA Indonesia 2026 | 14,09 juta laporan ISPA s.d. minggu 38/2026; Jakarta tertinggi 150,0 per 1.000 penduduk |
| Olist Brazilian E-Commerce | Revenue produk 13,22 juta BRL; repeat purchase hanya 3,1% |
| IBM HR Attrition — People Analytics | Attrition 16,1%; karyawan lembur resign 30,5% vs 10,4% tanpa lembur; Sales Representative tertinggi 39,8% |
| Telco Customer Churn | Churn 26,6% dari 7.032 pelanggan bersih; revenue at risk USD 139.130,85 per bulan |
- IBM Data Analyst Professional Certificate
- Meta Data Analyst Professional Certificate
- Google Data Analytics Professional Certificate
- IBM Business Analyst Professional Certificate
- Excel Skills for Data Analytics and Visualization — Macquarie University
- Statistics and Data Analysis with Excel — Macquarie University
- Applied Data Science with Python — University of Michigan (specialization coursework)
All projects are public here on GitHub. Start from the featured table above, or browse the repositories tab — each repo documents its data sources and how to reproduce the analysis end to end.