Zigway

ZigWay is a fintech social enterprise that provides flexible, affordable loans and subscriptions for everyday goods and services via its own mobile application. In charge of managing the complete Tech Team and building products. Successfully managing real time data where it was coming from mobile apps, and transferring large amounts of data and reconciliation data. Working on making an Ansible script for the deployment. * Improved the architecture * Implemented and scaled an intensive credit model scoring each user by using AWS Lambda * Implemented 12 different formulas to calculate portfolio overview of the users * Created an image processing AWS function to avoid fraud of duplicate subscribers by using their photo * Created more than 50 endpoints for the projectZigWay is a fintech social enterprise that provides flexible, affordable loans and subscriptions for everyday goods and services via its own mobile application. In charge of managing the complete Tech Team and building products. Successfully managing real time data where it was coming from mobile apps, and transferring large amounts of data and reconciliation data. Working on making an Ansible script for the deployment. * Improved the architecture * Implemented and scaled an intensive credit model scoring each user by using AWS Lambda * Implemented 12 different formulas to calculate portfolio overview of the users * Created an image processing AWS function to avoid fraud of duplicate subscribers by using their photo * Created more than 50 endpoints for the project Skills: Software Engineering Practices · Back-End Web Development

Issara Institue

1. **Web Application Development**: Designing and developing web applications using Python and Django to support the organization's initiatives in combating human trafficking and forced labor. 2. **API Development**: Creating and maintaining APIs for data exchange and communication with external systems and partners. 3. **Database Management**: Managing and optimizing databases, ensuring efficient data storage and retrieval to support the organization's projects. 4. **Full-Stack Development**: Taking ownership of both front-end and back-end development tasks, including building user interfaces with Django templates and React, if required. 5. **System Integration**: Collaborating with cross-functional teams to integrate technology solutions that enhance worker voice and address labor issues in global supply chains. 6. **Testing and Quality Assurance**: Ensuring the reliability and robustness of the applications through testing, debugging, and quality assurance practices. 7. **Documentation**: Creating comprehensive documentation for the codebase, APIs, and system architecture to facilitate knowledge sharing and future development. 8. **Security and Compliance**: Implementing security measures to protect sensitive data and ensuring compliance with relevant regulations and standards. 9. **Performance Optimization**: Identifying and resolving performance bottlenecks to ensure the smooth operation of the systems. 10. **Continuous Learning**: Staying updated with the latest developments in the Python and Django ecosystems to apply best practices and technologies effectively. 11. **Collaboration**: Collaborating with the team of experts, including those with a background in anti-trafficking, to align technology solutions with the organization's mission and goals. 12. **Project Management**: Managing your development tasks, timelines, and priorities to contribute to the successful execution of projects that combat human trafficking and forced labor.

CFRA Research

1. **API Development:** Design and develop APIs using Python and Django to support data retrieval, processing, and integration with various systems. 2. **Data Engineering:** Create and maintain data pipelines to collect, clean, and transform data from multiple sources for analysis and reporting. 3. **Database Management:** Manage databases, including optimizing performance, ensuring data integrity, and implementing data security measures. 4. **Data Analysis:** Work with large datasets, perform data analysis, and generate insights to support the company's financial intelligence solutions. 5. **Collaboration:** Collaborate with cross-functional teams to understand their data needs and develop solutions that align with the company's goals. 6. **Automation:** Implement automated data processes to ensure efficiency and accuracy in data handling and reporting. 7. **Documentation:** Maintain comprehensive documentation for APIs, data processes, and code to facilitate knowledge sharing and future development. 8. **Quality Assurance:** Ensure the quality of data and code through thorough testing and validation. 9. **Data Governance:** Adhere to data governance and compliance standards to maintain data accuracy and security. 10. **Innovation:** Stay updated with emerging technologies and best practices in data engineering and contribute to the company's goal of being a trusted source of financial intelligence and innovation.