Pandas, Numpy, Python, Sql, scikit-learn, LLM-based workflows, Forecasting, time series data, generative AI tools, ML models

risk governance , Pyspark, Quartz, Impala, Sql, Hive, Gcp, Data Visualization, Oracle, Python, quantitative modeling, operational controls, Risk Analytics, Data Processing, Data Validation, Process Automation, R, Statistical Modeling, Production automation, Technology Integration, Agile delivery methodologies, Model-execution workflows

Sql, Python, data fusion, Optimization Techniques, Forecasting, statistical machine learning

Python, Sql, Cloud Services, Tensorflow, Pytorch, Machine Learning, R, data management pipelines, Cloud-AI technologies, Statistical Modeling, open-source technologies

Ml, Deep Learning, MLops, Python, Algorithms, data structures, generative AI architectures, LLMs, GANs, Transformer-based networks, Ai, DL, SLMs, autoregressive models, Variational Autoencoders, reinforcement learning, RAG, Agentic AI, RL, modern AI frameworks, Generative AI

Azure Storage, Python, Pandas, Azure Machine Learning, MLops, Azure DevOps, AutoML, GitHub Actions, Power BI Fabric, MLflow, scikit-learn, Azure SDKs