Offered by Nakala, this internship program aims to empower aspiring data scientists by providing them with an opportunity to gain hands-on experience by solving real problems. Participants will explore the utilization of spatial and weather data as alternative sources to enhance profiling models, especially in scenarios where traditional credit data might be limited or unavailable.

Responsibilities

• Problem articulation: Create an inception report detailing your understanding of the project, including a comprehensive project plan.
• Research/Literature Review: Conduct a thorough literature review to explore global practices and state-of-the-art techniques in utilizing spatial and weather data within the credit scoring industry.
• Data Collection: Identify and gather publicly available spatial and weather data to validate hypotheses and fuel your research.
• Exploratory Data Analysis: Perform exploratory data analysis on the collected datasets to understand patterns and relationships.
• Methodology and Modelling: Choose an appropriate methodology and implement machine learning models for decision-making based on the datasets.
• Deployment: Deploy the developed model as a scalable API, ensuring accessibility and usability for stakeholders.
• Presentation: Communicate your findings, methodologies, and outcomes through a detailed presentation.