Matplotlib, Machine Learning, Hadoop, Power Bi, Tableau, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Gcp, Spark, Seaborn, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Vector Databases, Agentic workflows, Prompt Engineering

Modern data platform tooling (e.g. Databricks or equivalent), Robotics telemetry, AWS or comparable cloud infrastructure, Data infrastructure for GenAI use cases, Data pipelines, Data ingestion processing, data models, Robotics data formats, ML models, Backend services

Machine Learning, SAS, Data Mining, Sql, Spark, Spss, Python, pylearn2, Github Copilot, Claude Code, Vibe Coding, R, Databricks Genie, Business Intelligence

snowflake , Machine Learning, Power Bi, Tableau, Sql, Tensorflow, Pandas, Numpy, Pytorch, MLops, Qlik, Databricks, Python, Computer Vision, Airflow, scikit-learn, Ai, anomaly detection, AWS Sagemaker, Nifi, Time-series forecasting

model selection , Retrieval-Augmented Generation (RAG), Machine Learning, Natural Language Processing, Sql, Python, Data Ingestion, Feature Engineering, Data Science Libraries, Production Monitoring, Deep Learning Framework, Recommendation Systems, Time-Series Forecasting, Regularisation, Large-Scale Data Processing, Evaluation Metrics, MLOps Tooling, Personalisation Engines, Knowledge Graphs, Large Language Models

Machine Learning, Hadoop, Sql, Deep Learning, Tensorflow, Data Quality, Pytorch, Gcp, MLops, Spark, Data Governance, Predictive Analytics, Azure, Python, AWS, Generative AI, LLMOps, Scikit-learn, reinforcement learning, Model Deployment

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

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Microsoft Power Bi, Tableau, Sql, Nltk, Git, Pandas, Matplotlib, XGBoost, Qlik, Python, Context engineering, Prompt engineering, scikit-learn, Prompt optimization, Chunking, Token management, Context windows, spaCy, Embeddings, Microstrategy