Database Management, Power Bi, Data Visualization, Data Modeling, Python

GCP - BigQueryML, causal inference , Performance Monitoring, Linear Regression, Tensorflow, Pytorch, XGBoost, Python, Optimization Algorithms, Sql, model governance, scikit-learn, MLOps orchestration tools, feature engineering best practices, advanced experiment design, business impact modeling, LTV, Vertex AI, Experimental Design, Statistical Modeling, ROI, AWS SageMaker, propensity modeling, Gemini, incrementality

threat modeling , behavioral analytics , Machine Learning, data mining, Data Cleaning, Unsupervised Learning, Security Controls, Python, graph analytics, Statistical Techniques, anomaly detection, risk scoring, alert triage, fraud risk scoring, R, investigation workflows, supervised classification, fraud detection methodologies, rule-based systems, feature engineering, time-series analysis

Aws Services, Python, Tableau, Power Bi

Databricks, Unsupervised Learning, Python, Azure, multi-agent orchestration, statistical methods, self-healing systems, OpenAI, LlamaIndex, Google, model validation, ML fundamentals, LangChain, automated optimization, foundation models, evaluation metrics, git version control, supervised learning, vector databases, production ML monitoring, RAG systems, Anthropic, output validation, prompt engineering, Experimental Design