Samantha Evans

Data scientist and applied mathematician with expertise in machine learning, statistical modeling, and simulation-based analytics. Skilled in building and debugging end-to-end ML pipelines, developing predictive models, and extracting insights from large and complex datasets. Experienced in high performance computing, scientific computing and data visualization. Collaborative problem solver who bridges technical depth with clear communication to diverse stakeholders. Recent contributor to LLM benchmarking at Snorkel AI and developer of multi-language ML workflows for advanced simulation data.

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Areas of Expertise:

Programming Languages: Python, MATLAB, R, C

Tools & Frameworks: PyTorch, scikit-learn, NumPy, SciPy, pandas, matplotlib, MobaXterm, mex, MATLAB-Python ML pipelines

Technical Domains: Machine Learning, Predictive Modeling, Statistical Modeling, Data Analytics, Data Visualization, Data Mining, Deep Learning, ETL, Experimental Design, Scientific Computing, Numerical Methods, Simulation, High-Performance Computing (HPC), Fast Algorithms