Time Series Analysis, Machine Learning, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, probabilistic forecasting, Statistics, statsmodels

Scripting languages (e.g. Python), Data querying languages (e.g. SQL), Power analysis and minimum detectable effect (MDE) calculations, Machine Learning, Data mining, Statistical Modeling, Applied statistics, Large-scale analytics

snowflake , Tensorflow, Pytorch, Gcp, MLops, XGBoost, Azure, Python, Sql, AWS, Scikit-learn

cdisc standards , Ml, Predictive Modeling, SAS, Python, Sql, R, Ai, data interpretation

Machine Learning, React, FastAPI, Python, Sql, Cloud Platforms, Data Visualization BI Tools, LangChain or Agentic Frameworks, Generative AI LLMs, Git CI-CD

prophet , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Sql, Deep Learning, Git, Kubernetes, scikit-learn, Temporal Convolutional Networks, Random Forests, GRU, Integrated Gradients, Gradient Boosting, data visualization tools, Time Series Models, LSTM, SHAP, LightGBM, Statistical models, counterfactuals, statsmodels, permutation importance, transformer-based models

Data Manipulation, Data Transformation, Python Programming, data pipeline development, logic-based workflows, Analytics, SQL proficiency, Dataiku, common coding tools within Dataiku, Excel-like analytical methods