Customer Churn Prediction — Telco Indonesia
Machine Learning · XGBoost · 89% AUC
Hello, I'm Dwi — a fresh graduate of Statistics, Institut Teknologi Sepuluh Nopember (ITS) Surabaya with 4 years of academic training in statistical modeling, data analytics, and machine learning. I've worked across BPS, fintech, and consumer research — combining rigorous methodology with practical business questions to turn messy data into actionable insight.
Right now I'm exploring opportunities in data science, risk analytics, and product analytics — particularly at fintech, consumer tech, or government research institutions. Beyond technical work, I enjoy mentoring junior students on R + Python at the Statistical Computing Lab, and writing data-driven essays on Indonesia's economic and demographic trends.
3-month internship di GoTo Financial data team. Built customer segmentation model untuk lending product (clustering K-Means + RFM analysis). Output dipresentasikan ke 2 PM senior, jadi basis personalisasi recommendation engine untuk 1.2M user segment.
Part-time research assistant di BPS Jatim. Membantu desain sampling untuk Survei Sosial Ekonomi Nasional (SUSENAS) 2024 — stratified multi-stage cluster sampling untuk 3,200 RT di 6 kabupaten. Co-authored 1 internal report tentang non-response bias.
Magang di Mandiri Risk Lab. Mengembangkan credit scoring model proof-of-concept (logistic regression + gradient boosting), dengan dataset 80K loan applications. Model approved untuk pilot test (Q1 2024) — KS statistic 0.42.
GPA 3.82/4.00 (Cum Laude). Concentration: Computational Statistics + Machine Learning. Bachelor thesis on Bayesian hierarchical models untuk Indonesia poverty mapping. Aktif di HIMASTA + Statistical Computing Lab assistant.
IPA track. Aktif di Karya Ilmiah Remaja (KIR) — Juara 2 Olimpiade Sains Nasional Matematika tingkat provinsi 2019.
Memimpin programming akademik untuk 220+ mahasiswa Statistika ITS. Organized 6 statistical computing workshops (R + Python), Data Science Competition 2023 (45 teams nasional), + ITS Statistics Career Fair 2023.
Lab assistant untuk 4 mata kuliah: Komputasi Statistika, Analisis Regresi, Time Series, Multivariate Analysis. Mengajar pemrograman R + Python untuk 180+ mahasiswa per semester.
Volunteer di ISS Indonesia. Membantu 3 community research projects tentang akses pendidikan + healthcare di Jawa Timur. Co-authored 1 conference poster (SemNas Statistika 2023).
Department of Statistics, ITS
Institut Teknologi Bandung (ITB)
Kementerian Pendidikan dan Kebudayaan
Faculty of Science and Data Analytics, ITS
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Dwi shows exceptional technical depth — his Bayesian hierarchical model for Indonesia poverty mapping was published-quality. He bridges statistical rigor with practical computational implementation rare in undergrad students.
View LetterSelf-directed and analytically sharp. Dwi delivered a customer segmentation model in 6 weeks that's now in production. Strong fundamentals + ability to translate business questions into statistical frameworks.
View LetterMethodologically careful + meticulous with sampling design. Dwi's contribution to SUSENAS 2024 weighting scheme was technically solid. Future government statistician material.
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