Data Science, Machine Learning, Pyspark, Python, Sql, AWS, Applied AI

Python, Sql, R, classification and regression, ML algorithm performance, analytics pipelines, machine learning models

Data Science, Data Management, Debugging Techniques, Data Analysis, Modeling, Statistical Techniques

Pyspark, Azure Databricks, Sql, Tensorflow, Deep Learning, Azure ML, Numpy, Nlp, Pandas, Pytorch, Python, Scikit-learn, Forecasting, MLflow, anomaly detection, CI CD, ML deployment, Synapse, model tuning, ML techniques, Statistics, MLOps tools, feature engineering

MLops, Pytorch, Weakly-supervised learning, AI development in regulated environments, Medical image analysis, Deep learning workflows, Experiment reproducibility, Multimodal models

snowflake , causal inference , BigQuery, Pandas, Spark, Python, Sql, Statistical Analysis, scikit-learn, cloud data environments, statsmodels

Matplotlib, Amazon Web Services, Google Cloud Platform, Power Bi, Pyspark, Tableau, Tensorflow, Pytorch, Databricks, Seaborn, Microsoft Azure, Keras, Python, MLflow, GitHub Copilot, Dask, Amazon CodeWhisperer

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, MlFlow, Dagster, Lake Warehouse architectures, model monitoring

Oop, Nosql, Algorithms, Data Structures, Data Visualization, Python, Sql