Machine Learning, Advanced Analytics, SAS, Spss, Big Data, Data Governance, Python, Sql, Generative AI, R, Statistical Methods

Hadoop, Sql, Tensorflow, Pytorch, Gcp, XGBoost, Spark, Azure, Python, AWS, scikit-learn, R

Apache Airflow, Git, Power Bi, Pyspark, XGBoost, Python, Sql Queries, Nlp, Machine Learning, Hadoop Ecosystem, scikit-learn, lgbm

MLops, Python, LLMOps, prompt optimization frameworks, LLM systems, vLLM, agentic workflows, LoRA, AI automation solutions, Production Monitoring, RAG pipelines, fine-tuning techniques, QLoRA, observability

Machine Learning, Sql, MLops, Python, GenAI, Prompt engineering, Statistics, reinforcement learning, Llm, experimentation, RAG pipelines, Model evaluation

Sql, Python, Pandas, device intelligence, feature engineering, scikit-learn, graph analysis, gradient-boosted trees, Biometrics

Sql, Git, Pandas, Numpy, Docker, XGBoost, Python, large tables, scikit-learn, window functions, PRECISION, LightGBM, Debugged latency issues optimized inference, Classification models, Auc, Deployed real-time ML models behind an API, recall, Production ML, Monitoring observability for ML systems, CTEs