Honeywell is hiring a data analyst for data science and analytical operations 

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Bachelor degree of engineering in any stream or other tech degree is required or MBA & any data science online course is preferred but not mandatory 

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Knowledge in scripting and querying languages such as Python for data science , python for data analysis and SQL is required for data manipulation 

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Skills in using libraries for creating visualizations using Python (Matplotlib, Seaborn, Plotly) and knowledge of machine learning & deep learning is preferred

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If you have experience in GitHub repositories with SQL and Python projects,bulit interactive dashboards in Power BI and Tableau for real-world insights then you are best fit for role

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Understanding of Descriptive Statistics and proficiency in hypothesis testing and interpreting results is crucial for Data analytics careers

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Use advanced visualization tools like KPI, QlikView, and Plotly to create insightful data presentations.

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You should be proficient in Power BI, Tableau, and Looker Studioto to create clear dashboards and data storytelling presentations

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Knowledge of Agile development methodology,Snowflake,AI tool and other data science concepts is preferred but not mandatory

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Basic Knowledge of Generative AI tools like ChatGPT, Copilot, and Claude is a big advantage with Prompt Engineering and some AI automation frameworks is highly valued.

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Machine learning expertise in TensorFlow, PyTorch, and scikit-learn is a core requirement and knowledge of NLP, Recommendation Systems, and Predictive Analytics is like a cherry on cake 

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Familiarity with AWS, Google Cloud Platform, and Microsoft Azure for deploying scalable data solutions is highly valued.

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Ability to handle missing data, outliers, and inconsistencies in datasets and strong understanding of data analytics capabilities and limitations

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Ability to understand and analyze a broad array of technical and business issues to develop innovative and effective solutions.

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Apply machine learning algorithms, including decision trees, neural networks, and reinforcement learning, to enhance data analysis..

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