Python, Evaluation metrics for generative models, Fine-tuning techniques, LLM architectures, Model training pipelines

Java, Data Transformation, Sql, ELT, Data Quality, Spark, Databricks, Data Integration, Big Data, Python, Etl, Airflow, RAG vector databases, distributed processing tools, knowledge graph concepts, data lakes, governance concepts, metadata, semantic search

Machine Learning, Data Mining, Sql, Deep Learning, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Azure, Python, AWS, Scikit-learn, Hugging Face, CI CD, Statistical Modeling, Large Language Models

Logistic Regression, k-means, Pyspark, Random Forest, Pca, Sql, Tensorflow, Pytorch, XGBoost, Python, AWS, SHAP, scikit-learn, Feature Engineering, GLM, Pricing Models

Model Building, Sql, Deep Learning, Pytorch, Cloud, Python, AWS, LangChain, Transformer, Model performance metrics, LLMOps, Scikit-Learn, LLM models finetuning, Model Deployment, Hyperparameter tuning

Logistic Regression, Deep Learning, XGBoost, Python, Sql, credit bureau data, LightGBM

Hadoop, Pyspark, Sql, Azure ML, MLops, Gcp, Spark, Databricks, Azure, Python, Azure DevOps, AWS, LangChain, GenAI, LLMs, vector databases, LangGraph, agentic workflows, SageMaker, RAG, CI-CD