Large Language Models (LLMs), Tensorflow, Pytorch, Python, LangChain, Attention, Transformers, Hugging Face

unstructured data , Spark SQL, Apis, Python, Agentic AI principles, Prompt engineering, Simulation Models, Tool-using AI agents, LLMs, Autonomous workflows, heuristics, GenAI ecosystems, Structured data, Operations Research Optimization, Linear Mixed Integer Programming, Utility-based agents, Multi-step decision systems, MLOps deployment pipelines, Data pipelines, Multi-agent systems

Numpy, Scipy, Pandas, XGBoost, Pyspark, Python, Sql, Amazon Quick Sight, AWS SageMaker, Scikit-Learn

model development , Remaining Useful Life (RUL) estimation, GCP), Cloud platforms (AWS, Machine Learning, Azure, Python, Vibration signal processing, Time-series analytics, data acquisition, Predictive Maintenance, anomaly detection, Condition Monitoring, Failure prediction, AI frameworks, Signal Processing, Operationalization

data wrangling , Rsa, Microsoft Access, Qlik Sense, Power Bi, Agile Development Methodologies, Sql, Data Visualisation, Tensorflow, Pytorch, Docker, Python, Kubernetes, DevSecOps practices, Microservices Architecture, Sharepoint, Podman

Python, Sql, Google Cloud, ML Operations, Generative AI, R, Large Language Model, LLM-as-a-judge, cloud-native platforms, Retrieval-Augmented Generation, prompt engineering

Hypothesis Testing, BigQuery, Google Cloud Platform, Model Building, Tableau, Sql, Data Visualisation, Performance Monitoring, Python, Deployment, Machine learning techniques, Experimental Design, ML frameworks, Simulation

Power Bi, Tableau, Sql, Python, Machine Learning, Statistical Modelling, R, Forecasting

Python, Sql, Portfolio Analytics, Risk Strategy, Credit Risk Analytics