Dwi Sasongko

Dwi Sasongko

Statistics Graduate

Surabaya, Indonesia
Available for work

About me

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.

Some of my projects

Experience

  • 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.

Education

  • 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.

Additional Experience

  • 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).

Recognition

  • Best Bachelor Thesis — Computational Statistics

    Department of Statistics, ITS

  • 1st Place — Data Science Competition (DataFest 2023)

    Institut Teknologi Bandung (ITB)

  • Top 5 — Statistics Olympiad National (OSN-PT)

    Kementerian Pendidikan dan Kebudayaan

  • Dean's List — Semester 5, 6, 7

    Faculty of Science and Data Analytics, ITS

    2022 - 2023Certificate
  • Beasiswa Unggulan Kemendikbud

    Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

    2021 - 2024Certificate

Certifications

  • Google Data Analytics Professional Certificate

    Google (via Coursera)·Data Analytics

    Sep 2024 View
  • IBM Data Science Professional Certificate

    IBM (via Coursera)·Data Science

    Aug 2024 View
  • Microsoft Power BI Data Analyst Associate (PL-300)

    Microsoft·Business Intelligence

    Jun 2024 View
  • Tableau Desktop Specialist

    Tableau (Salesforce)·Data Visualization

    May 2024 View
  • AWS Certified Cloud Practitioner (CLF-C02)

    Amazon Web Services·Cloud Computing

    Apr 2024 View
  • Statistical Methods for Decision Making

    Stanford University (via Coursera)·Statistics

    Mar 2024 View
  • Bayesian Statistics Specialization

    University of California Santa Cruz (via Coursera)·Statistics

    Jan 2024 View
  • Machine Learning Specialization

    DeepLearning.AI + Stanford (Coursera)·Machine Learning

    Dec 2023 View
  • SAS Programming Specialist

    SAS Institute·Statistical Programming

    Nov 2023 View
  • TOEFL ITP — Score 587

    ETS·English Proficiency

    Aug 2023 View

Skills

Statistical Modeling
Regression · GLM · Mixed Models
Machine Learning
Supervised + Unsupervised + Ensemble
Bayesian Inference
MCMC · PyMC · Stan · BUGS
Time Series Analysis
ARIMA · Prophet · State Space
Causal Inference
A/B Testing · DiD · IV · RCT
Survey Methodology
Sampling Design · Weighting · Imputation
Data Visualization
ggplot2 · Plotly · Tableau · Power BI
Big Data & SQL
PostgreSQL · BigQuery · Spark
Experiment Design
Factorial · Power Analysis · Sample Size
Geospatial Analysis
GIS · GWR · Spatial Autocorrelation
Natural Language Processing
Text Mining · Sentiment · Topic Modeling
Mathematical Statistics
Probability Theory · Asymptotics · Decision Theory

Tech Stack

R
Python
SQL
Stata
SPSS
SAS
Jupyter
RStudio
VS Code
Tableau
Power BI
Looker Studio
Excel
Google Sheets
BigQuery
PostgreSQL
Git + GitHub
AWS
Notion
Slack

Recommendations

  • Dr. Suhartono, M.Sc., Ph.D.
    Dr. Suhartono, M.Sc., Ph.D.
    Thesis Advisor, Department of Statistics ITS
    July 2024

    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 Letter
  • Andini Rahmawati, M.Sc.
    Andini Rahmawati, M.Sc.
    Senior Data Scientist, GoTo Financial
    September 2024

    Self-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 Letter
  • Drs. Bambang Wijaya, M.Stat.
    Drs. Bambang Wijaya, M.Stat.
    Senior Statistician, BPS Jawa Timur
    May 2024

    Methodologically careful + meticulous with sampling design. Dwi's contribution to SUSENAS 2024 weighting scheme was technically solid. Future government statistician material.

    View Letter

Get in touch with me