textual analysis , Machine Learning, Natural Language Processing, Tensorflow, Hive, Pytorch, MLops, Spark, Keras, LLMs, orchestration tools, Generative AI frameworks, vector databases, dialog systems, cloud AI ML skills, recommendation systems, API service development, Prompt Engineering

Tensorflow, Pytorch, Sql, Python, R, Scikit-learn, ML libraries

statistical data analysis , Data Manipulation, Machine Learning, Jira, Sql, Nlp, Gitlab, Clustering, Python, Project Delivery, UNIX command line, Agile development practices, anomaly detection, Classification, data analysis libraries, ML Ops, feature engineering, Azure AI Search, AI solutions

Data Management, Metadata Management, Sql, Spark, Reporting Tools, Data Profiling, Python, data quality frameworks, cloud platforms, data lineage analysis, R, data cataloging

Python, pricing optimization, Cost modelling, ML frameworks, ML lifecycle management, Data drift detection, Feedback loop design, Data engineering concepts

Eda, Pyspark, Time Series, Data Visualization, Python, Statistical Analysis, tree based models, personalization models, ML techniques, Regression

Sql, Data Governance, Data Profiling, Data Management, Data Visualization, Data Quality, Python, Metadata Management, Reporting Tools, Spark, cloud platforms, AI ML technologies, data cataloging, R, data lineage analysis

Algorithm Design, Kibana, data mining, Pyspark, Machine Learning, Python, Elastic, Open-Source tools, segmentation method, Ai, statistical methods

Github, Machine Learning, Tensorflow, Numpy, Pandas, Pytorch, MLops, Azure Functions, Docker, XGBoost, Databricks, Azure Machine Learning, Kubernetes, Python, Azure DevOps, scikit-learn, LightGBM, MLflow, Azure Container Apps, Application Insights, Azure Monitor

Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Azure ML, Gcp, Pytorch, Docker, Azure, Python, Kubernetes, AWS, Agentic AI frameworks, Scikit-learn, MLflow, Pinecone, LangSmith, Chroma, FAISS, Kubeflow, RAG pipelines, Weaviate, Large Language Models