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Collect, clean, pre process, and analyze structured and unstructured datasets.

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Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.

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Develop and evaluate basic machine learning models.

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Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

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Write SQL queries to extract and manipulate data.

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Create reports, dashboards, and data visualizations.

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Assist in feature engineering, model training, and performance evaluation.

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Apply statistical techniques to solve business problems.

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Collaborate with data analysts, data scientists, and development teams.

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Document findings, methodologies, and project outcomes.

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Support ongoing data science and analytics projects.

Requirements

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Python

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SQL

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Pandas

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NumPy

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Data Cleaning & Preprocessing

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Exploratory Data Analysis (EDA)

📌 Data Science Intern (Noida)
🏢 Recognized
📍 Noida