Graphic Designer Internship

Location: Remote
Duration: 2-6 months Type: Unpaid Internship About Collegepur Collegepur is an innovative platform dedicated to providing students with comprehensive information about colleges, career opportunities, and educational resources. We are building a dynamic team of talented individuals passionate about data-driven decision-making. Job Summary We are seeking a highly motivated Data Science Intern to join our team. This role involves working on data collection, web scraping, analysis, visualization, and machine learning to derive meaningful insights that enhance our platform’s functionality and user experience. Responsibilities: ● Web Scraping: Collect and extract data from websites using tools like BeautifulSoup, Scrapy, or Selenium. ● Data Preprocessing: Clean, transform, and structure raw data for analysis. ● Exploratory Data Analysis (EDA): Identify trends and insights from collected data. ● Machine Learning: Develop predictive models for data-driven decision-making. ● Data Visualization: Create dashboards and reports using tools like Matplotlib, Seaborn, Power BI, or Tableau. ● Database Management: Work with structured and unstructured data, ensuring quality and consistency. ● Collaboration: Work with cross-functional teams to integrate data solutions into our platform. ● Documentation: Maintain records of methodologies, findings, and workflows.Requirements: ● Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. ● Experience in web scraping using BeautifulSoup, Scrapy, or Selenium. ● Proficiency in Python/R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. ● Familiarity with SQL and database management. ● Strong understanding of data visualization tools. ● Knowledge of APIs and cloud platforms (AWS, GCP, or Azure) is a plus. ● Excellent problem-solving and analytical skills. ● Ability to work independently and as part of a team. Perks and Benefits: ● Remote work with flexible hours. ● Certificate of completion and Letter of Recommendation. ● Performance-based LinkedIn recommendations. ● Opportunity to work on real-world projects and enhance your portfolio. If you are passionate about data science and web scraping and eager to gain hands-on experience, we encourage you to apply!