ML & statistics
Classification, clustering, WOE/IV scorecards, SHAP explainability, hypothesis testing, survival analysis, imbalanced classification (SMOTE), feature engineering
GenAI & applied analytics
RAG pipelines, fine-tuning, LLM-generated reporting, natural-language-to-query analytics
Tools & libraries
Python, XGBoost, scikit-learn, PyTorch, Transformers, statsmodels, LangChain/LangGraph, AWS Bedrock, embeddings, Qdrant
Data analysis & BI
SQL, Spark SQL, PostgreSQL, Power BI, query profiling and tuning, exploratory data analysis, dashboarding
Data engineering
PySpark, AWS Glue, CDC, medallion architecture, ETL/ELT design and ownership, Kafka, Airflow, data warehousing and modelling
Engineering & cloud
FastAPI, REST APIs, Docker, Redis, AWS Lambda, Redshift, EMR, Step Functions, RDS