Data Science Intern

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  Collect, clean, pre process, and analyze structured and unstructured datasets.
  
  

  
  


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  Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.
  
  

  
  


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  Develop and evaluate basic machine learning models.
  
  

  
  


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  Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
  
  

  
  


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  Write SQL queries to extract and manipulate data.
  
  

  
  


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  Create reports, dashboards, and data visualizations.
  
  

  
  


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  Assist in feature engineering, model training, and performance evaluation.
  
  

  
  


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  Apply statistical techniques to solve business problems.
  
  

  
  


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  Collaborate with data analysts, data scientists, and development teams.
  
  

  
  


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  Document findings, methodologies, and project outcomes.
  
  

  
  


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  Support ongoing data science and analytics projects.
  
  

  
  

Requirements

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  Python
  
  

  
  


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  SQL
  
  

  
  


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  Pandas
  
  

  
  


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  NumPy
  
  

  
  


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  Data Cleaning & Preprocessing
  
  

  
  


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  Exploratory Data Analysis (EDA)