Data Science Internship

Roles

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Assist in collecting, cleaning, and organizing large datasets. -

Perform exploratory data analysis (EDA) to identify trends and patterns. -

Develop and implement basic machine learning models. -

Create data visualizations, charts, and dashboards. -

Support data scientists in solving real-world business problems. -

Write SQL queries to extract and analyze data. -

Assist in building predictive models and statistical analyses. -

Document findings and present insights to the team.

Responsibilities

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Collect data from databases, spreadsheets, APIs, and other sources. -

Clean, preprocess, and transform raw data for analysis. -

Analyze datasets using Python, SQL, and statistical techniques. -

Apply machine learning algorithms to practical problems. -

Evaluate model performance and suggest improvements. -

Prepare reports and communicate data-driven insights. -

Collaborate with software engineers, analysts, and other team members. -

Stay updated with emerging data science tools and technologies.

Familiarity with libraries such as:

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Pandas

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NumPy

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Matplotlib

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Seaborn

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Scikit-learn

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Basic understanding of statistics and probability. -

Knowledge of SQL and database concepts. -

Understanding of machine learning fundamentals. -

Familiarity with data visualization techniques. -

Strong analytical and problem-solving skills. -

Good communication and teamwork abilities. -

Willingness to learn and work on real-world projects.