Evan Wiebe

About Evan Wiebe

Highly motivated Data Scientist eager to leverage his technical expertise and analytical skills to drive innovation and efficiency. Possesses strong problem-solving, AI development, and data-driven decision-making abilities to bridge the gaps between data, modeling, and actionable insights. Communication: Skilled in cross-functional collaboration, clear and efficient stakeholder communication, and translating technical concepts. An experienced and effective presenter. Software Development & Data Science: Experienced in AI development, machine learning model implementation, optimization, and database design and management. Work Style: Adaptable to fast-paced environments, thrives under pressure, and excels at managing multiple projects. A self-sufficient contributor, collaborative team player, and and especially as an effective leader. Core Languages: Python, C/C++, SQL, R, Power Fx, Mojo, Java Model Experience: Linear to Multivariate Multiple Regression, LDA/QDA, Logistic Regression, KNN models, Q-Learning, Random Forest, K-Means Clustering, Feedforward Neural Networks, Genetic Algorithms Machine Learning: TensorFlow, PyTorch, NumPy, Pandas, scikit-learn, XGBoost Databases: Microsoft SQL Server, PostgreSQL, Google BigQuery Tools: Tableau, DBT, React Native, Git, Docker, Power Apps, Linux/Unix, Hex, Visual Studio

Experience

1. Software Build Engineer

   Apple

   Sep 2025 — Present

Education

• St. Olaf College

  Bachelor's degree

  2020 — 2024