About the Internship
The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.
Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.
Responsibilities
- Assist in collecting, cleaning, and analyzing datasets.
- Work on data visualization and reporting tasks.
- Support machine learning and AI model development activities.
- Participate in research and implementation of AI-based solutions.
- Perform data preprocessing and feature engineering tasks.
- Collaborate with mentors and team members on project assignments.
- Test, evaluate, and improve model performance.
- Maintain project documentation and reports.
Required Skills
- Basic understanding of Python or any programming language.
- Interest in Data Science, Analytics, and AI technologies.
- Knowledge of statistics, data handling, or logical reasoning is a plus.
- Good analytical and problem-solving skills.
- Ability to learn and work collaboratively in a team environment.
Preferred Skills (Optional)
- Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
- Basic understanding of Machine Learning concepts.
- Knowledge of SQL, Excel, or data visualization tools.
- Interest in Artificial Intelligence and automation technologies.
Who Can Apply
- Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
- Freshers seeking practical exposure in Data Science and AI.
- Candidates passionate about analytics, AI, and emerging technologies.
Perks & Benefits
- Hands-on experience with real-world datasets and projects.
- Mentorship from experienced professionals.
- Internship Completion Certificate.
- Letter of Recommendation based on performance.
- Flexible learning and working environment.
- Opportunity to build practical technical skills.
- Top performers may receive future opportunities based on project requirements.

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