Large Language Models (LLMs), Solution architecture, Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Nlp, Generative AI, Client Engagement, Statistical Modeling, Technical Proposals, End-to-end Data Science lifecycle, Model evaluation

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

Data Science, Sql, Python, Machine Learning, Analytics, Ai, Statistical Modeling, Cloud Data Platforms

bedrock , Kubernetes, S3, Deep Learning, Nlp, Lambda, Docker, Python, Ml, Apis, Aws Services, Version Control, Git, GenAI, Classical ML, LLMs, Ai, EKS, vector stores, SageMaker, LLM fine-tuning, RAG, CI/CD, Athena, ML frameworks

Python, Deep Learning, Tensorflow, Distributed Systems, Machine Learning, MLops, Pytorch, Clustering, Big Data, Predictive Analytics, Spark, Time-Series Forecasting, LLMs, Production AI Systems, Cloud Data Architecture, MLflow, Random Forests, GenAI, Vector Databases, Data Pipelines, Statistical Modeling, AIOps, anomaly detection, Telemetry Analytics

Sql, S3, Data Modeling, Lambda, Tableau, Machine Learning, Power Bi, AWS, Data Warehousing, Python, Data Privacy, Redshift, data quality testing, Security, IaC, Airflow, dbt, GenAI, Glue, R

, AWS, Python, Machine Learning, Analytics, Cloud based environments

, 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

Paas, Data Warehouse, Knime, Hadoop, Saas, Big Data, Redshift, Sql, Excel Vba, Data Lake, IT Architecture Consulting, Master Data Management System, Business Intelligence Reporting solutions, Dataiku, Cloud Platforms AWS