Machine Learning, Api Integration, Python, Full-stack development, Generative AI, Automated testing frameworks

Machine Learning, Metadata Management, Data Management, Power Bi, Tableau, Data Science, MLops, Data Lake, Data Governance, Python, Qliksense, Etl, Data Strategy, Statistics, R, AutoML

Apis, Data Governance, Data Analytics, Data Management, Application Development, Software Engineering, Automation, Python, Sql, Data quality assessment, Generative AI, Agile delivery, DevOps practices, Ai

Machine Learning, Sql, Google Cloud, Numpy, Data Science, Pandas, Flask, Microsoft Azure, FastAPI, Python, AWS, Generative AI, LLMs, Scikit-learn, vector databases, RAG prompt engineering, Agentic AI

Java, Algorithms, Sql, Spark, data structures, Python, trajectory, Memory, Ray, Flink, CLIP, Llm, large models, multi-turn interaction, Agents Tool Use, T2V, VLM, multimodal AIGC, diffusion

Databricks, Azure Machine Learning, Python, Sql, SageMaker, model evaluation practices, data pipelines, software architecture principles, Responsible AI tooling, AI governance tooling

Power Bi, Schema Design, Tableau, Sql, data pipelines, AI-driven coding workflows, data integrity, model training, backup fundamentals, Metabase, Optimisation, Relational Databases, AI-assisted development tools, Access Control, machine learning concepts

Tableau, Tensorflow, Numpy, React, Typescript, Javascript, Pytorch, Flask, Microsoft Azure, Python, AWS, Machine Learning, Power Bi, Sql, Google Cloud, Pandas, MLops, FastAPI, Microsoft Copilot Studio, AI agent frameworks, Generative AI, DevOps practices, Plotly, Scikit-learn, data science methodologies

Metadata Management, Apis, Data Modelling, Pyspark, Sql, ELT, Git, Data Quality, Databricks, Python, Etl, Microsoft Fabric

Sql, Python, automated systems