snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, prompt engineering, Agentic AI systems, MCP Model Context Protocol, MLOps practices, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

Tensorflow, Machine Learning, Hive, Pytorch, Hadoop, Apache Spark, Sql, Deep Learning, Generative Models, Recommendation Systems, scikit-learn

data engineering , Machine Learning, Tableau, Tensorflow, Numpy, Pytorch, Python, AWS, Time Series Analysis, Api Development, Sql, Git, Pandas, MLops, Gcp, Azure, Large Language Models, LangChain, Generative AI, LLMOps, Scikit-learn, Dataiku, LlamaIndex, ETL workflows

LangSmith (tracing, evaluations), Python, Pyspark, Sql, XGBoost, metrics, Scikit-Learn, LightGBM, Random Forest LangChain, LangGraph

Machine Learning, Pyspark, Deep Learning, Tensorflow, Pandas, Pytorch, Azure Data Lake, Spark, Databricks, Azure, Python, Generative AI, scikit-learn, Feature Engineering, Hugging Face Transformers, Azure OpenAI Service, MLflow, Azure AI Foundry, Data Validation

Machine Learning, Pyspark, Databricks, Sql, Python, Deep Learning, Cloud Systems, Large Data Sets, Ai, Data Platforms

Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization

Hadoop, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Gcp, Docker, Spark, Keras, Azure, Kubernetes, Python, AWS, LangChain, DSPy

Spark, ML Ops, Applied ML