Data Science Intern

Key Responsibilities: - Assist in collecting, cleaning, labelling, and pre-processing data from various sources. - Research on domain knowledge and assisting in setting up proof-of-concepts. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights. - Support the development and testing of predictive models and machine learning algorithms. - Participate in AI software development. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Participate in the creation of data visualizations, dashboards, and reports to communicate findings. - Stay updated on the latest trends, tools, and best practices in data science and machine learning. Qualifications: - Actively pursuing or have recently obtained a degree in Data Science, Computer Science, Statistics, Mathematics, or a similar discipline. - Excellent analytical and problem-solving abilities, coupled with a strong enthusiasm for data. - Proficiency in programming languages including Python, R, or SQL. - Knowledge of data analysis libraries such as pandas, NumPy, and visualization frameworks like Matplotlib or Seaborn. - Fundamental understanding of machine learning algorithms and methodologies. - Willingness to learn and adapt to new challenges. - Ideally in their final semester. Preferred Qualifications: - Familiarity with data visualization tools such as Tableau or Power BI. - Understanding of cloud computing platforms like AWS, Azure, or Google Cloud. - Experience with version control tools such as Git. - Familiarity with big data technologies such as Hadoop or Spark.