Mqtt, Amqp, Databricks, AWS, data pipelines, GenAI use cases, retrieval-augmented generation, robotics data formats, analytics layer, Data Collection, OPC-UA, large language model, ML models, data models, backend services, robotics telemetry

MLops, Pyspark, Python, Sql, Machine learning workflows, Modern data platforms

Data Scientist, Sql, Python

statistical data analysis , Machine Learning, Python, Sql, Statistical Analysis, sampling methods, R, ML modeling, causal inference methods, experimentation

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

causal inference , Machine Learning, Sql, Git, Docker, Python, Statistics, Modelling Libraries, Jupyter, Data Analysis, Simulation, Econometrics

Large Language Models (LLMs), Tableau, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, AWS, Hadoop, Power Bi, Sql, Git, Pandas, Gcp, MLops, Spark, Azure, Predictive Maintenance, Optimization Techniques, Operations Research, Generative AI, Scikit-learn, Time-series forecasting

data engineering , Database Technologies, Statistical Modelling, AWS, python, Sql, MLops, neural embeddings, EDD, vector databases, transformer models, reinforcement learning, LangGraph, ELT concepts, R, Optimization, shell languages, LangChain, multi-criteria decision analysis, deep learning algorithms, GenAI systems, LLM models, AI Engineering, structured table transformation

Dashboards, Data Quality, Data Governance, Python, Sql, Machine learning libraries and frameworks, Data visualisations

Github, Terraform, Databricks, Python, Amazon EKS