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We are looking for enthusiastic and analytical Data Science Interns who are eager to learn and work with real-world data. This internship will provide hands-on experience in data analysis, machine learning, and data visualization while working with our experienced data science team.
Job Responsibility:
Assist in collecting, cleaning, and analyzing large datasets
Support the development of machine learning and predictive models
Work with Python libraries such as Pandas, NumPy, and Scikit-learn
Create data visualizations and reports to present insights
Perform exploratory data analysis (EDA) to identify patterns and trends
Help in preparing datasets for training machine learning models
Collaborate with the team to solve real-world data problems
Requirements:
Basic knowledge of Python programming
Understanding of statistics and data analysis concepts
Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib
Basic understanding of machine learning concepts
Knowledge of Excel and data visualization techniques
Good analytical and problem-solving skills
Nice to have:
Knowledge of Scikit-learn, TensorFlow, or other ML libraries
Basic understanding of SQL and database queries
Experience with data visualization tools like Power BI or Tableau
What we offer:
Hands-on experience with real-world datasets and projects
Mentorship from experienced data scientists
Internship completion certificate
Opportunity for full-time job placement based on performance