probability , Machine Learning, Tcp, Http, Dns, SSL, Sql, Tls, Python, Data Analysis, clustering techniques, Ip, Go, web application architectures, Statistics

Tensorflow, Numpy, Pytorch, Python, Deep Learning, Pandas, TSLib, Merlion, Neural Forecast, GRUs, TSAI, TensorFlow Recommenders, Darts, Alibaba Recommenders, NVIDIA Recommenders, LSTMs, Microsoft Recommenders, GluonTS, Orbit, Scikit-learn, Transformer-based models, NVIDIA Merlin, Time Series Forecasting, FBProphet, TorchRec, PyTorch Forecasting, statsmodels

prophet , Pyspark, Tensorflow, Nlp, Pytorch, Numpy, Docker, Python, AWS, Pandas, Arima, Spark, FastAPI, Azure, embeddings, ETS, scikit-learn, MLflow, multi-region, multi-SKU, Streamlit, Forecasting, Transformers, ML-based forecasting, hierarchical forecasting

Machine Learning, Scipy, Natural Language Processing, Clustering, Sql, Numpy, Pandas, Gcp, Azure, Python, AWS, LangChain, Segmentation, Hugging Face, Scikit-learn, anomaly detection, Retrieval-Augmented Generation, Recommendation Systems, LangGraph, GenAI applications, Time-series analysis, Large Language Models

Predictive Modeling, Machine Learning, Amazon Web Services, Artificial Intelligence, Natural Language Processing, Apache Spark, Data Mining, Big Data, Data Governance, Deep Learning, Data Science, Algorithms, R Programming Language, Data Visualization, Computer Science, Federated Data Lake, Statistics, Python Programming Language, Tableau Business Intelligence Software, Azure service, SQL Programming Language, Statistical Modeling, Data Analysis

snowflake , Unsupervised Learning, Sql, Tensorflow, Pandas, Pytorch, Spark, Statistical Analysis, Python, Prompt engineering, Vector databases, Scikit-learn, MLflow, Agentic AI systems, Correlation Analysis, MCP Model Context Protocol, MLOps practices, supervised learning, Kubeflow, Generative AI LLM Proficiency, Time-series analysis, RAG pipelines, Advanced AI ML Development

Sql, Tensorflow, Machine Learning, Pytorch, Python, Distributed data processing, RAG pipelines, Agentic AI systems, Feature engineering, Statistical Models, LLM-powered applications, Prompt engineering, Deep learning frameworks

Hadoop, Power Bi, Tableau, Sql, Seaborn, Pandas, Matplotlib, Spark, Python, Machine Learning Algorithms, Demand Forecasting, scikit-learn, data visualization tools, price optimization, statsmodels, inventory optimization

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, semantic retrieval systems, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines