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Tier-1 brand, popular internship role, and metro location increase applicant competition.
Data skills are transferable but degree and GPA constraints moderately limit cross-industry mobility.
Explicit degree, GPA, no-backlog and on-site requirements enforce strict filters.
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Build and optimize data models and prepare datasets to support BI tools like Power BI.
Perform data validation, analysis, and cleaning to ensure accuracy and usability for dashboards.
Create visualizations and dashboards, and assist in interpreting data to identify trends for stakeholder insights.
Currently enrolled in or pursuing B.Tech or M.Tech in Computer Science Engineering, AI/ML, Data Science, Statistics, or related field with 70% or 7 CGPA aggregate.
No active backlogs at the time of application.
Proficiency in coding with Python or R and basic knowledge of data analysis tools like Excel, SQL, Tableau.
Must be willing to work onsite at GE HealthCare premises during the internship.
Comfortable collaborating with globally diverse teams and open to mentorship and feedback.
Demonstrates strong analytical, problem-solving, and data visualization skills.
Able to manage time effectively and prioritize tasks in a dynamic project environment.