probability , Logistic Regression, Data Structures, Data Cleansing, Sql, Random Forest, Numpy, Algorithms, Pandas, XGBoost, Linear Regression, Machine Learning Algorithms, Python, Train-test strategies, Transformation, Feature Engineering, Scikit-learn, Statistics, Gradient Boosting, Hyperparameter Tuning, Cross-validation, Model Validation Techniques, Tree-based models

Unix, Devops, Automation Frameworks, Python, GitHub Copilot, Data quality concepts, AI models

PostgreSQL, Redis, Pytorch, Flask, FastAPI, Rest Apis, Python, TensorRT-LLM, Hugging Face Transformers, SGLang, vLLM, WebSockets, Ray Serve, NVIDIA Triton, Server-Sent Events, KServe

prophet , Azure Databricks, Knn, Random Forest, Nosql, Seaborn, Numpy, Docker, Python, Azure DevOps, Logistic Regression, Sql, Git, AR, Pandas, Azure Data Factory, Arima, scikit-learn, MLflow, ARMA, Matrix Profile, Azure Cloud Ecosystem, pyarrow, plotly, Azure Data Explorer, Azure Machine Learning Service, Kusto, Hive Metastore, Time Series Forecasting Models