Summary
Julisa Abraham is a data analysis specialist with 9 years’ experience applying end-to-end machine learning and optimization in banking, fintech, and logistics. She has driven measurable business impact—most notably a 20% gross margin improvement from courier allocation optimization at Tokopedia and robust behavior-scoring models (AUC >0.80) for mortgage products at Maybank. She builds production-ready pipelines and self-serve web apps, automating ML workflows and surfacing actionable insights that stakeholders use for decisioning. Her work blends probabilistic forecasting and Markov-chain CLV modeling to capture customer state dynamics rather than relying on static retention assumptions. Comfortable across Python, GCP, Pyomo/CVXPY, and LightGBM, she pairs advanced modeling with pragmatic engineering to deploy reliable solutions at scale. Based in Jakarta, she holds an MEng in Informatics and brings a rare mix of optimization, forecasting, and product-oriented ML delivery.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Informatics, Master of Engineering - MEng, Informatics at Universitas Gadjah Mada (UGM)
Indonesian, English, javanese