Machine Learning, Power Bi, Databricks, Tableau, SageMaker, Vertex AI, CI CD pipelines, MLOps frameworks, cloud AI platforms, LLM orchestration

Machine Learning, Tensorflow, Pytorch, Python, Redis, Azure, Gcp, AWS, embeddings, cloud-native AI services, LLM integration, vector databases, Pinecone, Elastic, production ML architecture, MLOps practices, data engineering pipelines, ChromaDB, RAG pipelines, feature stores, Generative AI, LLMs, Scikit-learn, ML workflows, prompt engineering

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, LightGBM, Scikit-learn, prompt engineering, OpenAI LLM APIs, FAISS, Weaviate, LlamaIndex, Model evaluation

causal inference , Machine Learning, XGBoost, Python, Sql, Forecasting, Classification, Neural Forecasting Architectures, Optimization, Multivariate Regression

Machine Learning, Data Modeling, Natural Language Processing, Data Visualization, Programming, Predictive Analytics, mathematical programming, Network Simulation Models

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

Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis

probability , Machine Learning, Power Bi, Tableau, Clustering, Sql, Tensorflow, Numpy, Pandas, MLops, Databricks, Python, Model Evaluation Techniques, Scikit-learn, ML Frameworks, Data Visualization Tools, Statistics, Regression, Looker, Cloud Platforms, R, Classification, Tree-based Models

large language models (LLMs), exploratory data analysis (EDA), Deep Learning, Machine Learning, Statistical Analysis, Agentic AI systems, generative AI, fine-tuning pre-trained models