MLops, Pyspark, Python, Sql, machine learning workflows, modern data platforms

Predictive Modeling, Machine Learning, Amazon Web Services, Artificial Intelligence, Natural Language Processing, Data Mining, Apache Spark, Deep Learning, Data Science, Algorithms, Data Visualization, Python Programming Language, Statistics, Tableau Business Intelligence Software, SQL Programming Language, Statistical Modeling, Data Analysis

.NET, VMware, solution architecture, Windows Server, Microsoft Sql Server, system integration, Batch, Openshift, Vba, AWS, Java, Citrix, PowerShell, Soap, SSIS, REST, Linux, Iis, Perl, Wcf, Cisco, Azure, Kubernetes, Web Services, AI technologies, cloud-based deployments, COM, Active Directory, AKS

causal inference , Machine Learning, Python, Sql, Data Analysis, Statistics, Simulation, Econometrics

XGBoost, Advanced Sql, Class Weights, Airflow, SMOTE, SHAP, LightGBM, MLflow, Gradient Boosting frameworks, CatBoost, Scikit-Learn

Tensorflow, Pytorch, Spark, Python, embeddings, LLMs, MaxCompute, Scikit-learn, LLVMs, graph-based methods, ML fundamentals, large-scale datasets, ranking models, collaborative filtering

Sql, Databricks, Hadoop, Machine Learning, Python, Azure, Spark, Responsible AI Practices, Ai, Prompt Engineering, Cloud and Big Data Platforms, Model Evaluation, AI Governance, ML Statistical Modeling, Bias Mitigation, Generative AI, Explainability