Responsibilities of the Intern:
– Data Collection & Preprocessing: Gather, clean, and preprocess structured and unstructured data from various sources (databases, APIs, spreadsheets, etc.).
– Exploratory Data Analysis (EDA): Perform statistical analysis and visualization to uncover trends, patterns, and insights.
– Machine Learning & Modeling: Assist in building, testing, and optimizing machine learning models for predictive analytics.
– Data Visualization & Reporting: Create dashboards, charts, and reports using visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
– Collaboration: Work with cross-functional teams, including software engineers and product managers, to support data-driven projects.
– Documentation & Research: Document data processing workflows, methodologies, and key findings for future reference.
– Continuous Learning: Stay updated with industry trends, tools, and techniques to enhance analytical skills.
Requirements:
– Proficiency in Python or R for data analysis and machine learning.
– Familiarity with data manipulation libraries (Pandas, NumPy, SciPy, etc.).
– Basic knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch, etc.).
– Experience with SQL for querying databases and extracting data.
– Strong analytical skills with an understanding of statistics and probability.
– Ability to create data visualizations and interpret insights effectively.
– Strong communication and problem-solving skills.
– Enthusiasm to learn and apply new technologies in a fast-paced environment.
