Pyspark, Nlp, Machine Learning, Docker, Azure Databricks, Sql, Python, Kubernetes, GenAI

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

snowflake , BigQuery, Power Bi, Tableau, Redshift, Sql, Git, Machine Learning, Python, Data Analysis, Looker, R, Superset

probability , Customization, Numpy, Nlp, Pytorch, Flask, Python, Ml, Redis, Sql, Deep Learning, Django, MLops, Pandas, FastAPI, scikit-learn, multimodal systems, Hugging Face Transformers, MLflow, embedding-based retrieval, Dash, large language models, Streamlit, SpaCy, TF 2, fine-tuning, Transformers, GNNs, R-Shiny, prompt engineering, Statistics

Sql, Python, Pyspark, Machine Learning, vector databases, LLMs, large-scale data processing tools, RAG, OOH advertising analytics, Generative AI, geospatial analytics

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

S3, Machine Learning, Data Science, Lambda, Docker, Api Gateway, Aws Services, Redshift, Iam, Kubernetes, Document ingestion and chunking strategies, Prompt engineering, Amazon SageMaker, Agentic AI systems, semantic search, LLM-powered applications, RAG architectures, AgentCore, Vector databases, Applied AI, LLM evaluation frameworks, Embedding generation and tuning, Multi-agent architectures, Amazon Bedrock

Databricks, MLops, AWS, Python, Azure, Gcp, MLflow, LLMs, Vector databases, Multi-agent systems, LangChain, CrewAI, Classification, Generative AI, Regression, LangGraph, Embedding pipelines

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Data Analysis, SQL Databases

Gcp, Docker, FastAPI, Azure, Python, AWS