Scipy, Pyspark, Sql, Numpy, Pandas, XGBoost, Python, hyper-parameter optimization, Visualization, Data Processing, Amazon Quick Sight, object-oriented programming, code versioning with Git, CI CD, Scikit-Learn, model validation, test-driven development, AWS SageMaker, transformation pipeline development, data ingestion, feature selection

Machine Learning, Natural Language Processing, SAS, Data Mining, Predictive Modelling, Sql, Deep Learning, Spark, Spss, Pattern Recognition, Python, GenAI, Expert Systems, pylearn2, Github Copilot, Claude Code, Ai, Vibe Coding, R, Databricks Genie, Business Intelligence

model development , Mqtt, Hypothesis Testing, Amqp, Databricks, AWS, data pipelines, GenAI use cases, retrieval-augmented generation, robotics data formats, Data Collection, analytics layer, ML models, OPC-UA, data models, pipeline design, ingestion pipelines, backend services, robotics telemetry

Databricks, Python, Sql, Airflow, Forecasting, R, dbt, Causal Inference Methods

Time Series, Pyspark, Azure Databricks, Unsupervised Learning, Sql, Deep Learning, Nlp, Docker, Kubernetes, Python, supervised learning, ensemble methods, GenAI applications, CI CD pipelines, advanced algorithms

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

Unsupervised Learning, Tensorflow, Nlp, Pandas, Pytorch, Gcp, Docker, Kubernetes, Python, AWS, LangChain, Airflow, scikit-learn, NoSQL databases, time-series modeling, supervised learning, MLflow, vLLM, LMDeploy, LangGraph, Kubeflow, model risk management, AI governance

Machine Learning, Artificial Intelligence, Data Science, Data Quality, Generative AI, Cost Optimization, Retrieval-Augmented Generation, Technical Quality Bar Setting, AI Solution Design, Responsible AI Practices, Model Governance, AI Evaluation, Model Performance Monitoring, Enterprise AI Delivery, Large Language Models

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

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