Machine Learning, Ibm Cloud, ELT, Python, AWS, Natural Language Processing, Sql, Deep Learning, Gcp, MLops, Databricks, Rest Apis, Azure, Etl, Hugging Face, MLflow, ML DL libraries, LangGraph, Microsoft Semantic Kernel, LangChain, Generative AI, LLMs, LLaMA, Crew AI, Delta Lake, OpenAI, Retrieval Augmented Generation

Text Analytics, Sql, Tensorflow, Nlp, Pytorch, Python, PEFT, Generative AI, Agentic AI Framework, Google Gemini, fine-tuning for pre-trained models, NLG, Data mining techniques, ML Ops, R, RAG Vector Database, LoRA, NLU, OpenAI, QLoRA

software design patterns , Natural Language Processing, Machine Learning, Deep Learning, Algorithms, data structures, data pipelines

Machine Learning, Natural Language Processing, Statistical Modeling, Data analysis tools and techniques

Pyspark, Machine Learning, Hive, Spark, Python, Statistical Analysis, Deep Learning, GPUs, Modeling

Sql, Python, LangChain, CrewAI, embeddings, Generative AI, Agentic AI frameworks, vector databases, AWS cloud ecosystem, knowledge retrieval systems, LangGraph, AutoGen, Amazon Bedrock, LlamaIndex, semantic search

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

Logistic Regression, XGBoost, Etl Tools, Python, Sql, Random Forest, Time Series Forecasting, Gradient Boosting

Tensorflow, Pandas, MLops, Pytorch, Data Modeling, Numpy, Python, Spark, engineering best practices, Evaluation frameworks, Retrieval-Augmented Generation, API-based model integrations, feature engineering, scikit-learn, deep learning frameworks, CI CD, big data tools, Prompt orchestration, QA risk management, data transformations, GenAI applications, Tool-using agents, data pipelines, Agentic workflows, data quality management, model monitoring