Data Mining Intern
1 day ago
As a **Data Mining Intern**, you will work alongside our data science and analytics teams to extract valuable insights from large datasets. This is an excellent opportunity for individuals looking to build their skills in data mining, machine learning, and data analysis while contributing to meaningful projects.
**Key Responsibilities**:
- **Data Collection & Cleaning**: Assist in collecting, cleaning, and preparing data for analysis from various sources (e.g., databases, spreadsheets, APIs).
- **Data Exploration**: Use exploratory data analysis (EDA) techniques to discover patterns, trends, and relationships within large datasets.
- **Data Visualization**: Help in visualizing complex datasets using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to communicate findings effectively.
- **Reporting**: Prepare reports and presentations to summarize insights, trends, and recommendations based on data analysis.
- **Collaboration**: Work closely with senior team members to support ongoing data-driven projects, contributing to the design and development of predictive models and data-driven solutions.
**Qualifications**:
- **Educational Background**: Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- **Technical Skills**:
- Familiarity with programming languages like Python, R, or SQL for data manipulation and analysis.
- Basic knowledge of data mining techniques, statistical analysis, and machine learning concepts.
- **Analytical Skills**: Strong problem-solving skills with a passion for working with data and discovering patterns.
- **Tools & Software**: Experience with data analysis tools (e.g., Python, R, SQL, Excel) and data visualization tools (e.g., Tableau, Power BI) is a plus.
- **Communication Skills**: Ability to present complex data findings in a clear and concise manner, both in written and verbal formats.
- **Attention to Detail**: High attention to detail with a focus on data accuracy and integrity.
**Preferred Skills**:
- Experience with big data platforms (e.g., Hadoop, Spark) is a plus.
- Familiarity with machine learning algorithms (e.g., classification, regression, clustering) and libraries like scikit-learn or TensorFlow.
- Knowledge of statistical tools and methods.
**Job Types**: Full-time, Permanent
Pay: ₹2,000.00 - ₹8,000.00 per month
**Benefits**:
- Paid sick time
Schedule:
- Day shift
Work Location: In person
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