Summary
Erika Siregar is a data scientist with a decade of experience blending statistical rigor and applied machine learning across government, academia, and community initiatives. Trained in computational statistics and holding an M.S. in Computer Science, she has worked at Indonesia’s Badan Pusat Statistik since 2013 while researching web preservation metrics during a PhD in Information Science. A co-founder of R-Ladies Jakarta and head of programs at Jakarta Machine Learning, she actively cultivates local data science capacity and mentors emerging practitioners. Her background includes applied teaching, Shiny dashboard consulting, and a Fulbright-funded transition from national statistics into U.S. graduate research—evidence of both policy-facing impact and international research collaboration. Notably, she combines hands-on R and Python engineering with a researcher’s focus on reproducible measurement, making her adept at turning complex archival and statistical problems into practical tools.
10 years of coding experience
Bachelor of Applied Science - BASc, Computation of Statistics, Bachelor of Applied Science - BASc, Computation of Statistics at Sekolah Tinggi Ilmu Statistik BPS
Doctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at The University of Sheffield
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Old Dominion University
Indonesian, English