Eina Ooka

A principal data scientist specialized in forecasting, optimization, and stochastic modeling, from development to operation. Driven to learn and adapt new methodologies and focused on efficiently bringing customer-focused solutions to production. ~ Area of Expertise ~ Technical Project Management: Scoping, approach assessment, task and schedule management, critical thinking, communication. Agile methodology. Machine Learning: Feature engineering, clustering, tree-based models, LSTM, CNN. Operations Research: MIP, GA, logical decision models, ML/OR hybrid approaches. Multivariate Stochastic Modeling: Gaussian process, Monte Carlo method, bootstrapping Time Series Analysis: ARIMA, VARX, heteroscedasticity, outlier detection, seasonal and trend decomposition, hierarchical modeling Programming: Advanced R (and shiny) skills. SQL, git, and basic Python. Mentoring: Coaching through listening. Technical guidance. Organize knowledge-share. ~ Eina's GitHub page ~ https://github.com/einaooka (Conference presentations available).