Retrieval-Augmented Generation (RAG), Statistical Analysis, Sql, Python, ML Operations, Generative AI, Metadata filters, Vector databases, Chunking, and pre-processing, Embeddings, R, LLM Operations, Data Collection, Fine-tuning, Data science pipelines, Cleaning

Machine Learning, MLops, LangChain, LangGraph, SageMaker, data fusion, Agentic AI, LLM orchestration frameworks, Kubeflow, MLflow

Tensorflow, Sklearn, Data Science, Machine Learning, Pytorch, Keras, Python, Sql, Spark MLlib

BigQuery, Google Cloud Platform, Tableau, Python, Sql, AI tools, Statistics, Experimental Design, data visualisation tools, ML frameworks

data preparation , Sql, Version Control, Market Sizing, Python, Visualization, Cloud data workflows, Optimization, R, Experimental Design, model validation, Time-series methods, Survey weighting, Practical statistics, Econometrics

Power Bi, Data Integration, Tableau, Python, Sql, R, Uplift modelling, Regression, Time-series forecasting

AI workflows, LLMs, scalable design principles, AI applications, machine learning techniques, data science expertise, coding best practices

Machine Learning, Power Bi, Advanced Excel, Predictive Modelling, Tableau, Python, Sql, GenAI tools, Cloud Analytics, Customer Segmentation

causal inference , Machine Learning, Sql, Git, Docker, Python, Statistics, Jupyter, Data Analysis, Simulation, Modeling Libraries, Econometrics

Ml, Sql, Version Control, Market Sizing, Python, Visualization, Cloud data workflows, Ai, Optimization, R, Experimental Design, Time-series methods, Survey weighting, Econometrics