Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection

Nltk, Natural Language Processing, Tensorflow, Pandas, AWS, Pytorch, Azure, Gcp, fine-tuning LLMs, OpenAI, gensim, mlflow, scikit-learn, vector databases, Langchain, HuggingFace

Machine Learning, Deep Learning, Data Science, Python, Generative AI, explainable AI, Forecasting, ML libraries, model evaluation, Statistical Modeling, time-series analysis, cloud-based ML platforms

Pyspark, Machine Learning, MLops, Python, Sql