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

Decision Trees, Python, Sql, Logistic Regression, credit risk metrics, predictive models, R, random forests, statistical and machine learning techniques, credit scoring risk models