Ml, Machine Learning, Distributed Systems, Nlp, MLops, Kubernetes, Python, AWS, LangChain, Generative AI, Cloud-native application development, LLMs, AI Agents, Data Pipelines, RAG systems, Ai, Agentic AI applications, production AI systems, LangGraph, Vector Databases, Microservices Architecture, Statistical Modeling

, Spark SQL, Ml, Personalization, Spark, Price elasticity modeling, Big data systems, Ai, Contextual bandits, Causal uplift modeling, combinatorial optimization, Sequential incremental learning, Machine learning techniques, Off-policy reinforcement learning, Recommendation systems

Sql, Tensorflow, Hadoop, Numpy, Pandas, AWS, Pytorch, Nosql, Python, Azure, Gcp, Big Data, Spark, NLP models, Scikit-learn, R

Sql, scrapy, Pandas, Machine Learning, Numpy, AWS, Nosql, Python, Azure, Gcp, Spark, Ai, BERT, scikit-learn, Analytics, R

Machine Learning, Nlp, Hadoop, Data Mining, Data Visualization, Big Data, Python, Sql, Deep Learning, Statistics

Spotfire, Sql, Tensorflow, Tableau, Alteryx, Opencv, MLops, Pytorch, Confluence, Computer Vision, Scala, Keras, SAS, JIRA, Nltk, AWS, Powerbi, Python, Nlp, Spark, Airflow, Ai, Looker, Hugging Face, Salesforce dashboards, Google Workspace, SpaCy, Smartsheets, R, Gensim, Transformers