Machine Learning, Tensorflow, Deep Learning, Numpy, Nlp, Pandas, Pytorch, MLops, Python, Statistical Analysis, Gcp, Time Series, Azure, AWS, scikit-learn, generative AI, R, Vision capability streams, cloud-based AI services

Pyspark, Sql, Nlp, Pytorch, Databricks, Python, MLops, LangChain, Generative AI, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services, LLMs, AI governance frameworks, Medical text analytics, Knowledge graphs, clinical decision support, Multimodal AI, CI/CD for ML

Machine Learning, Tensorflow, Nlp, Pytorch, XGBoost, Python, AWS, Sql, Gcp, Azure, vector search, validation frameworks, HuggingFace, MLflow, Pinecone, OpenSearch, LangChain, Generative AI, RAG architecture, LLMs, CI CD for ML deployments, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex, Model evaluation

Machine Learning, Data Modeling, Natural Language Processing, Data Visualization, Programming, Predictive Analytics, mathematical programming, Network Simulation Models

Machine Learning, Tensorflow, Nlp, Pytorch, XGBoost, Python, AWS, Sql, Gcp, Azure, vector search, embeddings, validation frameworks, HuggingFace, MLflow, Pinecone, OpenSearch, model evaluation, LangChain, Generative AI, RAG architecture, LLMs, CI CD for ML deployments, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex

Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis

probability , Machine Learning, Power Bi, Tableau, Clustering, Sql, Tensorflow, Numpy, Pandas, MLops, Databricks, Python, Model Evaluation Techniques, Scikit-learn, ML Frameworks, Data Visualization Tools, Statistics, Regression, Looker, Cloud Platforms, R, Classification, Tree-based Models