causal inference , Hadoop, Sql, Pytorch, Spark, Python, Machine Learning Algorithms, scikit-learn, transfer learning, reinforcement learning, multi-task learning, sequential modeling, graph learning

Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, LangChain, Signal Processing, scikit-learn, LLMs, Hugging Face, prompt engineering, time-series data

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

analytical modelling , Statistical Analysis, Scipy, Power Bi, Tableau, Sql, Numpy, Git, Pandas, Predictive Modelling, Python, sensitivity analysis, Machine-learning concepts, Data visualisation tools, Scikit-learn, Scenario modelling, Simulation

Model Context Protocol (MCP), Typescript, Pytorch, Python, AWS, Java, Scala, Clustering, Sql, Gcp, Azure, Secure cloud deployment, Advanced experiment design, Traditional ML, Optimization, Feature engineering, Forecasting, Validation, Cost management, Regression, Gradient-boosted trees, anomaly detection, GPU model serving, Causal methods, LLM applications, Responsible AI, Structured evaluation and monitoring of LLM systems

Pandas, Python, Sql, scikit-learn

Tensorflow, Pytorch, Machine Learning, Python, Sql, R, Statistical Modeling, Scikit-learn

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

Aws Redshift, AWS Glue, CI CD MLOps controls, fraud or risk modelling, production model-monitoring approaches, Spark or PySpark, operational deployment of analytical models, regulatory datasets, analytical dashboards using Tableau, working with workforce training grants claims, network or graph analytics

snowflake , MLops, Databricks, Python, Sql, anomaly detection, Decision Intelligence, Time-Series Analysis