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

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

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

statistical data analysis , Machine Learning, Natural Language Processing, Jira, Sql, Gitlab, Clustering, Python, UNIX command line, anomaly detection, Classification, data analysis libraries, Agile development frameworks, ML Ops, feature engineering, Azure AI Search

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

Numpy, Pandas, Python, Sql, Statistical Analysis, scikit-learn, causality, impact evaluation, Measurement

Python, Machine Learning, R, ML algorithms, data science pipeline, data-structures

data wrangling , data engineering , Github, Pyspark, API design, Sql, Integration, Databricks, Python, Azure DevOps, Forecasting, MLflow, anomaly detection, time series modeling, feature pipeline design, dataset preparation, data quality troubleshooting

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

Power Bi, Tableau, Sql, Numpy, Pandas, MLops, Predictive Modeling, Azure, Python, AWS, Statistical Analysis, scikit-learn, cloud platforms, Forecasting, data visualization tools, Optimization