Data Science Intern

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

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

• Develop and evaluate basic machine learning models.
  

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

• Write SQL queries to extract and manipulate data.
  

• Create reports, dashboards, and data visualizations.
  

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

• Apply statistical techniques to solve business problems.
  

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

• Document findings, methodologies, and project outcomes.
  

• Support ongoing data science and analytics projects.
  

Requirements

• Python
  

• SQL
  

• Pandas
  

• NumPy
  

• Data Cleaning & Preprocessing
  

• Exploratory Data Analysis (EDA)