Machine Learning, Hadoop, Sql, Deep Learning, Tensorflow, Data Quality, Pytorch, Gcp, MLops, Spark, Data Governance, Predictive Analytics, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Model Deployment

Predictive Modeling, Amazon Web Services, Machine Learning, Artificial Intelligence, Natural Language Processing, Data Mining, Apache Spark, Big Data, Sql, Deep Learning, Data Science, Algorithms, Spark, Data Visualization, Python, Statistics, Statistical Modeling, Data Analysis

Scipy, Pyspark, Sql, Numpy, Pandas, XGBoost, Python, hyper-parameter optimization, Visualization, Data Processing, Amazon Quick Sight, object-oriented programming, code versioning with Git, CI CD, Scikit-Learn, model validation, test-driven development, AWS SageMaker, transformation pipeline development, data ingestion, feature selection

Time Series, Pyspark, Azure Databricks, Unsupervised Learning, Sql, Deep Learning, Nlp, Docker, Kubernetes, Python, supervised learning, ensemble methods, GenAI applications, CI CD pipelines, advanced algorithms

Nlp, Ml, Sql, Time Series, Python, Pyspark, MLops, Deep Learning, Statistics, GenAI

Sql, Python, R

causal inference , Machine Learning, Sql, Git, Docker, Python, Statistics, Modelling Libraries, Jupyter, Data Analysis, Simulation, Econometrics

Machine Learning, Hadoop, Programming, Jira, Devops, Jenkins, Data Science, Git, MLops, Bitbucket, Advanced Analytics, Aws Cloud, Microsoft Excel, Generative AI, Ai, Vector Databases, Statistical Models, Trino

Unsupervised Learning, Tensorflow, Nlp, Pandas, Pytorch, Gcp, Docker, Kubernetes, Python, AWS, LangChain, Airflow, scikit-learn, NoSQL databases, time-series modeling, supervised learning, MLflow, vLLM, LMDeploy, LangGraph, Kubeflow, model risk management, AI governance