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

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

- Develop and evaluate basic machine learning models.

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

- Write SQL queries to extract and manipulate data.

- Create reports, dashboards, and data visualizations.

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

- Apply statistical techniques to solve business problems.

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

- Document findings, methodologies, and project outcomes.

- Support ongoing data science and analytics projects.

Requirements

- Python

- SQL

- Pandas

- NumPy

- Data Cleaning & Preprocessing

- Exploratory Data Analysis (EDA)

📌 Data Science Intern (Noida)
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📍 Noida