PostgreSQL, Sql, Numpy, Pandas, Docker, XGBoost, Python, AWS, scikit-learn, LightGBM, CatBoost, Evidently

Sql, Tensorflow, Git, Pandas, Pytorch, Gcp, MLops, Docker, Spark, Azure, Kubernetes, Python, AWS, LangChain, scikit-learn, CI CD, LangGraph

Machine Learning, Apis, Tensorflow, Nlp, Pytorch, XGBoost, Python, scikit-learn, Cloud platforms, Ai, Optimization, data infrastructure, LLM applications

Machine Learning, Statistical Modelling, Python, MLops, data pipelines, Data Processing, feature engineering, predictive models, GenAI

probability , Machine Learning, Sql, Numpy, Pandas, Python, AWS, scikit-learn, large-scale ML systems, cloud platforms, software engineering fundamentals, Statistics

Data Science, Machine Learning, MLops, Python, R, Statistics

Machine Learning, Sql, Quality Assurance, Python, Spark, model validation

Machine Learning, Python, Sql, Deep Learning frameworks, Model Registries, Statistical Models, Feature Stores, Gradient Boosting

Python, Azure Databricks, Pyspark, Machine Learning, Data Processing, Statistical Modeling, cloud-based data platforms

model selection , Numpy, Pandas, Matplotlib, Python, data preprocessing, vectorized databases, machine learning frameworks and libraries, AI agent design, unstructured search engines, information extraction, large language models, feature engineering, text-based NLP, entity recognition