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

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

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

Power Bi, Data Visualization, Tableau, Clustering, Python, Sql, R, Regression

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

Power Bi, Python, Distributed Computing, AI automation platforms, infrastructure as code, business intelligence, Azure Fabric, Data Storage, cloud-based native tools

Data Science, Machine Learning, Deep Learning, Algorithms, Python, SAS, Data Structures, Nlp, R, Data Analysis, Data Pipelines

AWS, Sql, Tensorflow, Github, Hadoop, Numpy, Kafka, Pandas, Pytorch, Python, Azure, Docker, Gcp, Git, Spark, Scikit-learn