prophet , Sql, Google Cloud, Tensorflow, Pandas, Pytorch, Arima, Python, Airflow, SHAP, scikit-learn, LLMs, generative AI, agentic workflows, deep-learning approaches, Cloud Composer, LIME, dbt, Vertex AI, RAG, gradient-boosted

RAG (Retrieval-Augmented Generation), Ml, Deep Learning, MLops, Python, Generative AI, Ai, DL, Transformer-based networks, reinforcement learning, Agentic AI, RL

Pyspark, Sql, Deep Learning, Nlp, Pytorch, Databricks, Python, LangChain, Generative AI, Transformer-based Models, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services

large language models (LLMs), exploratory data analysis (EDA), Machine Learning, Tensorflow, Deep Learning, Numpy, Pandas, Pytorch, Gcp, MLops, Azure, Python, Statistical Analysis, AWS, scikit-learn, generative AI, cloud-based AI services, R, Agentic AI

.NET, data engineering , C#, Metadata Management, Adf, Data Architecture, ELT, Nosql, Javascript, Data Lake, Python, Data Modelling, Sql, Devops, Data Quality, Data Governance, Databricks, Azure, Etl, lakehouse, data pipelines, model training, model deployment, agile delivery, warehouse design, Synapse, ML fundamentals, Azure Data Engineering, CI/CD

Matplotlib, Hadoop, Power Bi, Tableau, Sql, Tensorflow, Numpy, Pandas, Pytorch, Gcp, Docker, XGBoost, Spark, Seaborn, Azure, Python, Kubernetes, AWS, Airflow, Scikit-learn, MLflow, R

Machine Learning, Apis, Coding, Python, GenAI, Predictive AI, AI ML Models, Agentic AI, Deployment, RAG Model, Llm

snowflake , Machine Learning, Sql, MLops, Databricks, Python, Generative AI, AWS Bedrock, LLMs, AI Agents, AI Governance, Azure OpenAI, Vector Databases, Model Monitoring, RAG, Google Vertex AI, Statistical Modeling, OpenAI, Prompt Engineering