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

Machine Learning, Tensorflow, Nlp, Pytorch, XGBoost, Python, AWS, Sql, Gcp, Azure, vector search, validation frameworks, HuggingFace, MLflow, Pinecone, OpenSearch, LangChain, Generative AI, RAG architecture, LLMs, CI CD for ML deployments, Vector databases, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex, Model evaluation

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

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

Sql, Python, audience segmentation, supervised machine learning, Bayesian approaches, meta analysis, marketing mix modeling, Root Cause Analysis, automated analytics pipelines, R, unsupervised machine learning, modeling frameworks, geo experiments, Marketing Analytics, Experimental Design, propensity modeling