Databases, Machine Learning, Sql, Python, Data Pipelines, Model Deployment, Analytics Tools, Statistics

MLops, Databricks, Python, Sql, AWS, GenAI, data pipelines, analytics architectures

snowflake , Power Bi, Tableau, Sql, Tensorflow, Pandas, Numpy, Pytorch, Qlik, Databricks, Python, Airflow, scikit-learn, AWS Sagemaker, Nifi

Databricks, AWS, Data pipelines, data models, ML models, Backend services

Machine Learning, Sql, Numpy, Pandas, MLops, Gcp, Azure, Python, AWS, Etl, data pipelines, Scikit-learn, Seeq industrial analytics platform, data visualization tools, data lakes, Time-series sensor data analytics, Statistical Modeling

Machine Learning, Sql, Numpy, MLops, Pandas, Python, Etl, Data lakes, Scikit-learn, Seeq industrial analytics platform, Time-series sensor data analytics, Statistical Modeling, Data visualization tools, Data pipelines

Version Control, Natural Language Processing, Sql, Python, evaluation methodology, embeddings, Data Processing, generative AI, software-development practices, sampling error analysis, model evaluation, model validation, Experimental Design, prompt design, language models

data engineering , Mqtt, Iot, Amqp, Databricks, AWS, GenAI, data pipelines, OPC-UA, Retrieval-Augmented Generation, Llm, machine learning model development, Robotics

Tensorflow, Pytorch, Spark, Python, embeddings, LLMs, MaxCompute, Scikit-learn, LLVMs, graph-based methods, ML fundamentals, large-scale datasets, ranking models, collaborative filtering

data engineering , Mqtt, Machine Learning, Iot, Amqp, Databricks, AWS, GenAI, data pipelines, OPC-UA, Retrieval-Augmented Generation, Llm