Statistician and policy data analyst with over eight years of experience bridging data, research, and policy in labor, productivity, and social development. Experienced in translating large-scale datasets into actionable insights for national and international partners, including UN ESCAP and UNFPA. Skilled in Stata, R, Python, and EViews, with a strong record in capacity building, dashboard development, and analytical reporting.

Education

• Master of Science - MSc. in Applied Statistics, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. 2021-2023.
• Bachelor of Applied Science - BASc. in Applied Statistics, Institute of Statistics (Politeknik Statistika STIS), Indonesia. 2012-2016.
• Visiting Student program on Stochastic Numerics and Statistical Learning, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. 2023.
• Short Course program on Skills Forecasting for the Fourth Industrial Revolution, Griffith University, Australia. 2023.
• Short Course program on Dealing with Noisy Statistics, University of Toronto, Canada. 2023.

Professional

• Senior Statistician, Population and Employment Statistics Directorate, BPS–Statistics Indonesia | 2016–Present
  • Lead research on recruitment costs for Indonesian international migrant workers.
  • Co-lead national research on Indonesia’s informal sector and informal workers.
  • Co-initiated Indonesia’s Statistical Population Register through the CRVS Indonesia team.
  • Led the Population and Housing Census (Mako team) in South Kalimantan Province.
  • Developed a one-data migration platform to support harmonized migration statistics in Indonesia.
  • Lead the directorate’s human resources and capability development function.
• Professional Educator, Kementerian Pendidikan dan Kebudayaan (Ministry of Education and Culture Republic of Indonesia), 2024.
  • Collaborated with lecturers, students, and universities, i.e. UPI and UGM in "Praktisi Mengajar" program.
  • Developed teaching materials and delivered lectures on Statistics, Data Science, and Statistical Modelling, with a total teaching duration of 36 hours per semester.
  • Guided students in hands-on data analysis practices using Python, bridging theoretical knowledge and practical skills.
• Supporting Person, United Nations, 2020-present.
  • Conducted teaching sessions on mobile positioning data for National Statistical Office in Iran (2024).
  • Supported socio-economic and migration analyses for various countries (2022).
  • Performed analyses for population and housing census studies across multiple Asia-Pacific countries (2020-2021).
  • Collaboration project with UN ESCAP on an Inequality Assessment study in Indonesia, alongside consultants from the Australian National University (ANU).
  • UN Task Team on Synthetic Data of Mobile Positioning Data (2023-2024)
  • UN Task Team on the Collaborative on Administrative Data (2024-present)
  • United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) Task Team on Mobile Phone Data (2025-present)
• Teaching Assistant, King Fahd University of Petroleum and Minerals, Kingdom of Saudi Arabia, 2021-2023.
  • Taught and supported undergraduate courses, e.g. Calculus and Statistics for business and engineering. Utilized MATLAB, Python, and Minitab applications to enhance the learning experience.
  • Conducted 12 classes in 3 semesters, each comprising 25-35 students. Taught in English and use Learning Management Systems to monitor and evaluate the learning process.

Publications and Proceedings

1. Rakhmawan, SA., T Mahmood, N Abbas, (2025) “Deep learning-based mortality surveillance: implications for healthcare policy and practice” Journal of Population Research 42 (1), 7. https://doi.org/10.1007/s12546-024-09358-7
2. Rakhmawan, SA., T Mahmood, N Abbas, M Riaz, (2024) “Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections” Lifetime Data Analysis 30 (4), 800-826. https://doi.org/10.1007/s10985-024-09634-x
3. A Tantriana, Rakhmawan, SA. (2024) “Looking at Social Assistance: Is It Effective in Strengthening the Economy in East Java?”. East Java Economic Journal 8 (2), 179-202. https://doi.org/10.53572/ejavec.v8i2.126
4. Rakhmawan SA, Omar MH, Riaz M, Abbas N. (2023)  “Hotelling T2 Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision Tree”. Mathematics. 2023; 11(3):566. https://doi.org/10.3390/math11030566