The Role
Supports data collection, cleaning, analysis, visualization, and machine learning projects. Collaborates with cross-functional teams to understand business needs, develops analytical solutions, identifies patterns and trends, and communicates data-driven insights through presentations and visualizations to improve operational efficiency and decision-making.
Summary Generated by Built In
As an Intern Bachelors Data Science here at Honeywell, you will gain hands-on experience in data science and analytics, contributing to projects that drive data-driven insights and optimize operational efficiency. You will work closely with our data science team to develop analytical solutions and support decision-making processes within the organization.
In this role, you will impact our data strategy by supporting data collection, analysis, and visualization efforts, helping to improve processes and drive continuous improvement within the business.
ResponsibilitiesKey Responsibilities- Assist in data collection, cleaning, and preparation for analysis
- Conduct statistical analysis and modeling to uncover patterns and trends in data
- Develop and implement machine learning algorithms and models
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Communicate findings and insights to stakeholders through visualizations and presentations
- Experience in data analytics or related field
- Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, etc.)
- Pursuing a Bachelor's degree in Data Science, Analytics, Engineering, or a related field
- Experience with data visualization tools (e.g., Tableau, Power BI, etc.)
- Strong analytical and problem-solving skills
- Ability to translate complex data into actionable insights
Skills Required
- Experience in data analytics or a related field
- Proficiency in data analytics tools and programming languages, such as Python, R, or SQL
- Pursuing a Bachelor's degree in Data Science, Analytics, Engineering, or a related field
- Experience with data visualization tools, such as Tableau or Power BI
- Strong analytical and problem-solving skills
- Ability to translate complex data into actionable insights
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The Company








