Matplotlib, Cobol, Java, Pyspark, Tensorflow, Pytorch, Pandas, Keras, Python, Scikit Learn, Hugging Face, R, AI frameworks

, Sql, Github, Hadoop, Clustering, Python, Big Data, Hypothesis Testing, Spark, Generative AI, experimentation, Time Series Forecasting, RAG Prompt Engineering, Classification, Traditional ML, Agentic AI, Regression

Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, LangChain, multimodal LLM frameworks, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex

Numpy, Pandas, Docker, Kubernetes, Python, Sql, Kubeflow, Scikit-learn, MLOps tools, MLflow

Scipy, Git, Pandas, Numpy, Python, Sql, data visualization platforms, scikit-learn, statsmodels, data governance practices

Machine Learning, Nlp, Databricks, Python, AWS, LangChain, embeddings, GenAI, LangGraph, encoders-decoder models, retrieval-based systems, transformer architectures, Amazon Bedrock

prophet , Tensorflow, Pytorch, Etl Tools, Python, Hadoop, Neural Nets, Hive, Arima, Spark, Keras, Clustering, heuristic LP, Simulation, anomaly detection, machine learning techniques, R, Market Intelligence, stochastic models, Map Reduce, GA, SQL databases, Gurobi, time series forecasting, exponential smoothing, o9 platform, ensemble learning, time series optimizations, Regression, feature engineering

unstructured data , Machine Learning, Python, data science fundamentals, structured data, data pipelines, Data Processing, data-intensive problems, code reviews