Hadoop, Apache Spark, Deep Learning, Gcp, Data Visualization, Azure, Python, AWS, LLMs, GenAI models, ensemble methods, R, advanced machine learning techniques

Hypothesis Testing, Tensorflow, Pytorch, Ocr, Python, Generative AI, Prompt engineering, Machine learning frameworks, Statistics, Modeling, Feature engineering, spacy, Large language models, Transformers

Pyspark, Azure Databricks, ELT, Deep Learning, Tensorflow, Nlp, Azure Data Factory, Pytorch, Docker, Python, Kubernetes, Etl, GCP AI ML, scikit-learn, ML algorithms, anomaly detection, AWS Sagemaker, Delta Lake, data lakehouse architectures

Pytorch, Sql, Deep Learning, Tensorflow, Decision Trees, Falcon, Linear Regression, Cluster Analysis, Python, Text Mining, Nlp, Logistic Regression, LLMs, BERT, Gradient Descent, Prompt Engineering, Gen AI models, Linear Optimization, Mistral, Llama 2, Azure services, GPT, NLG, Langchain, GPT 3.5, NLU, Forecasting

Python, Databricks, Git, LLMs, collaborative code workflows, ML AI libraries and platforms, GenAI ecosystems, OpenAI API, Scikit-learn, prompt engineering, parameter tuning

Sql, Databricks, Python, generative AI, statistical methods, feature engineering, evaluation approaches for generative AI outputs, intent detection systems, cloud platforms, LangChain, AWS Bedrock, Data Analysis, Knowledge Graphs, prompt engineering, LangGraph

Cloud Technology, Deep Learning, Python, Machine Learning, Azure cloud platform, OCR technology, R, algorithmic problem solving

Machine Learning, Pytorch, Computer Vision, Deep Learning, Python, Tensorflow, Statistical Analysis, Git

Tensorflow, Pyspark, Databricks, Aws, Sql, Python