who is eager to gain hands-on experience in data analysis, machine learning, and statistical modeling. The intern will assist in collecting, analyzing, and interpreting data to help the company make data-driven decisions.
Key Responsibilities
Assist in data collection, cleaning, and preprocessing
Analyze large datasets using Python, Pandas, and NumPy
Build and evaluate basic machine learning models
Visualize data using Matplotlib and Seaborn
Generate insights and reports to support business decisions
Collaborate with senior data scientists on projects
Requirements
Basic knowledge of Python or R
Understanding of statistics and data analysis
Familiarity with machine learning concepts
Good problem-solving and analytical skills
Eagerness to learn and work in a team
Qualifications
Students pursuing a degree in Computer Science, Data Science, Statistics, or related field
Freshers and final-year students are welcome
Benefits
Hands-on experience with real-world datasets
Internship certificate and recommendation letter
Exposure to machine learning and data visualization tools
Opportunity to work on live projects and build a portfolio
Job Types: Part-time, Fresher, Internship
Work Location: In person
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