Machine Learning Algorithms, Deep Learning, Image Processing, MongoDB, Predictive Analytics, Python, Visualization, Linux environments, Model monitoring, Advanced Statistical Modelling, NoSQL databases, Data Processing, Recommendation Systems, R, RDBMS SQL, Large-scale datasets, Data Gathering, Statistical Techniques

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

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

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

Unsupervised Learning, Spark, Databricks, Python, Deep Learning, supervised learning

Git, Machine Learning, Python, Sql, Agentic AI solutions

prophet , causal inference , Sql, Databricks, Tensorflow, MLops, Pytorch, Python, data pipelines, Airflow, Stan, feature engineering, dbt, scikit-learn, PyMC, hierarchical models, R, Bayesian modeling, Experimental Design

Tensorflow, Machine Learning, MLops, AWS, Pytorch, Python, Azure, Gcp, Hl7, LLaMA, Claude, OpenAI GPT, Hugging Face, EMR EHR systems, FHIR, AI ML models, Statistical models, Generative AI

Sql, Pytorch, Python, Tensorflow, MLops, scikit-learn

Clustering, Svm, Python, Neural Networks, Regression, Boosting, R, Random Forests, Statistical Models