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

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

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving

Deep Learning, Spring Boot, Natural Language Processing, Java, DevSecOps, AI ML, Github, Image Processing, Scripting, Containers, Machine Learning, Kubernetes, Apis, GitHub Actions, Google BigQuery, cloud-native platforms, CI CD, reinforcement learning, generative AI, intelligent process automation