Selected intern’s day-to-day responsibilities include:

1. Assist in data collection, cleaning, and preprocessing tasks
2. Analyse complex datasets using statistical techniques and machine learning algorithms
3. Develop and implement data mining and data visualization techniques
4. Collaborate with cross-functional teams to identify business requirements and translate them into data science projects
5. Build predictive models to forecast trends, identify patterns, and make data-driven recommendations
6. Conduct exploratory data analysis to uncover hidden patterns and insights
7. Communicate findings and present results to stakeholders in a clear and concise manner

Skills & Requirements:

1. Currently pursuing a B. Tech degree in (relevant fields, e.g., computer science, mathematics, statistics, etc.)
2. Strong foundation in mathematics, statistics, and programming (Python, R, or similar languages).
3. Familiarity with data analysis libraries and frameworks (e.g., pandas, NumPy, sci-kit-learn, TensorFlow, etc.).
4. Knowledge of machine learning algorithms and techniques
5. Experience with data visualization tools (e.g., Tableau, Matplotlib, seaborn, etc.).