AI Resettlement Data Intern

RESPONSIBILITIES:

1. Data Cleaning and Preprocessing:

- Develop and implement data cleaning scripts to ensure data accuracy and consistency. - Remove duplicate records from datasets. - Handle missing data through imputation or deletion based on predefined rules. - Standardize data formats to improve data quality.

2. Data Integration and ETL:

- Design and implement data integration workflows between different systems or data sources. - Develop scripts or workflows to extract, transform, and load data into target databases or data warehouses. - Collaborate with teams to optimize data transfer processes.

3. Data Visualization and Reporting:

- Utilize visualization tools to create interactive dashboards and reports for data analysis. - Collaborate with stakeholders to understand reporting needs and develop automated reporting solutions. - Track and monitor key performance indicators (KPIs) through visualizations.

4. Workflow Automation:

- Identify repetitive tasks and manual processes within data management workflows. - Automate data validation and quality checks using scripting languages or automation tools. - Implement robotic process automation (RPA) solutions to streamline data-related tasks.

5. Data Privacy and Security:

- Assist in implementing data privacy measures and ensuring compliance with relevant regulations. - Help design and implement data access controls, encryption mechanisms, and user authentication processes.

6. Process Optimization and Efficiency:

- Analyze existing data management workflows and identify areas for improvement. - Work with cross-functional teams to optimize processes and implement data management best practices.

7. Machine Learning and Predictive Analytics:

- Collaborate with data scientists to develop and deploy machine learning models. - Assist in data preparation, feature engineering, and model evaluation tasks.

LEARNING OUTCOMES: Throughout the internship, the student will:

· Develop a deep understanding of data management principles and practices.

· Gain hands-on experience in data cleaning, integration, visualization, and automation.

· Enhance skills in using tools such as scripting languages, visualization software, and workflow automation tools.

· Acquire knowledge of data privacy and security considerations.

· Learn to optimize processes and apply data management best practices.

· Gain exposure to machine learning and predictive analytics concepts.

Qualifications REQUIREMENTS:

· Strong analytical and problem-solving skills.

· Strong computer and data skills

· Attention to detail and ability to work with large datasets.

· Strong verbal and written communication skills.

· Ability to work independently and collaborate effectively in a team environment.

This position reports to the Data Support Coordinator.

IRC leading the way from harm to home. IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, or disability.