Data Science Intern

• *Data Science Intern – Nagercoil**

We are looking for passionate and analytical candidates to join our team as **Data Science Interns** in Nagercoil.

• *Location:** Nagercoil only
• *Position:** Data Science Intern

• *About the Role:**

The Data Science Intern will get hands\-on experience in data analysis, data visualization, machine learning, and real\-time data\-driven projects. This internship provides an opportunity to work with datasets, understand business problems, develop analytical solutions, and gain practical industry exposure.

• *Responsibilities:**

• Collect, clean, and preprocess data from various sources
• Analyze datasets to identify patterns, trends, and insights
• Perform data visualization and prepare reports
• Assist in developing and testing machine learning models
• Apply statistical techniques for data analysis
• Work with Python\-based data science tools and libraries
• Support data\-driven decision\-making through analysis
• Prepare documentation and present findings
• Collaborate with the technical team on live projects

• *Required Skills:**

• Basic knowledge of Python programming
• Understanding of data analysis concepts and statistics
• Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit\-learn
• Basic knowledge of machine learning algorithms
• Understanding of data cleaning and preprocessing techniques
• Knowledge of SQL and database concepts is an added advantage
• Familiarity with data visualization tools is a plus
• Strong analytical and problem\-solving skills
• Good attention to detail
• Willingness to learn new technologies and techniques
• Good communication and teamwork skills

• *Eligibility:**

• Freshers and students from Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, IT, or related fields can apply
• Candidates with basic programming and analytical knowledge are preferred
• Candidates must be from Nagercoil

This internship provides live project experience, practical exposure to data science workflows, and an opportunity to develop skills required for a career in data analytics and machine learning.

Interested candidates can share their resume at

78454 57974

Work Location: In person