Databricks, Tensorflow, Pandas, Pyspark, Deep Learning, Pytorch, Python, Azure, Azure Data Lake, Nlp, Spark, vector databases, traditional statistical ML, MLflow, Azure OpenAI Service, scikit-learn, Azure AI Foundry, embeddings, Hugging Face Transformers, RAG, prompt engineering, LLM GenAI applications

Hadoop, Power Bi, Data Visualization, Spark, Tableau, Qliksense, Python, Sql, Advanced statistical analysis

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

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