Taylor Clements, PhD
Highly skilled ML Engineer and Data Scientist with strengths in deep learning, statistical modeling, and translating complex analyses into business decisions.
- Strong problem-solver with a focus on end-to-end ML pipelines, from exploratory analysis through model deployment and stakeholder communication
- Proficient in Python with hands-on experience in data wrangling, EDA, and predictive modeling across enterprise and research contexts
- Experienced in deep learning and transfer learning using PyTorch and TensorFlow, including CNN-based image classification and NLP applications
- Solid foundation in regression, classification, and ensemble methods using Scikit-learn and XGBoost on large scale tabular and unstructured data
- Experienced working with large datasets using Pandas, NumPy, and SQL in both cloud and on-premise environments
- Skilled in data visualization and model explainability using Matplotlib, Seaborn, and SHAP to communicate insights to technical and non-technical stakeholders
Learning V. School 