, 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

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

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

Machine Learning, Python Programming, Deep Learning, ML Ops, Generative AI, Multi model Agent LLMs, Azure AI foundry services

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

prophet , Sql, Tensorflow, Numpy, Pandas, Pytorch, Arima, XGBoost, Python, LSTM, price elasticity modeling, scikit-learn, Regression, time-series forecasting, Classification, Demand Forecasting, ensemble methods, Pricing Discount Simulation, scenario analysis, AWS SageMaker, feature engineering

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