retrieval augmented generation (RAG), Hypothesis Testing, Python, MLops, Statistical Analysis, embedding pipelines, multi-agent systems, vector databases, MLflow, LangGraph, Evaluation, Experimental Design, CrewAI, LangChain, Generative AI, fine-tuning, LLMs, deep learning architectures, a/b testing, gradient boosting, Classification, prompt engineering, ensemble methods, Regression, CI/CD

Machine Learning, Docker, Terraform, Pyspark, Python, Sql, AWS, Generative AI, R

Power Bi, Pyspark, Data Visualization, Tableau, Machine Learning Algorithms, Sql, Python, Model Tuning, Feature Engineering, Ms Office Suite

Tableau, Hadoop, SQL Server, Impala, Sql, Hive, Powerbi, Spark, Databricks, Azure, Python, AWS, Salesforce, ETL processes, API integrations, Cloud Data Platforms, Master Data Management

Data Science, Text Analytics, Nlp, Machine Learning, Pytorch, Python, Tensorflow

Machine Learning, orchestration patterns, RAG agent frameworks, LLMs, end-to-end AI architectures, data science fundamentals

Knn, Deep Learning, Tensorflow, Neural Networks, Pytorch, Python, Nlp, Rnn, XGBoost, Predictive Analytics, experimentation, scikit-learn, Basic Statistics, Model deployment, Gradient boosting, ANN, Model interpretability, reinforcement learning, Regression, Random forests, Model monitoring

Tensorflow, Machine Learning, Pytorch, Natural Language Processing, Apache Spark, Keras, Python, Sql, Hugging Face

Pytorch, Sql, Deep Learning, Tensorflow, Seaborn, Data Visualization, Matplotlib, Numpy, Tableau, Machine Learning, Pandas, Power Bi, AWS, Clustering, Python, Azure, Gcp, plotly, Scikit-learn, Forecasting, Classification, Ensemble Methods, oci, Regression