• Developed and deployed api returning business results; Setting up CI/CD
• Managed product backlog
• Collaboration with stakeholders to define product requirements, translating them into actionable tasks for the development team
• Evaluation and implementation of user feedback
• Unit and integration testing to validate api logic

Contributions:

• Architected and implemented scalable data pipelines; Managed product backlog
• Designed the data model and database schema to optimize performance and support complex analytical queries
• Developed user interface;
• Insured data quality and integrity through rigorous testing, validation, and continuous monitoring processes.

Integrate Data Science into existing structures through efficient methodologies, technologies, and team dynamics.

Contributions: 

• Developed and aligned data strategy with company objectives; Identified, prioritized and implemented actionable data science use cases
• Established the technical framework for the data science team
• Facilitated communication across domains, management, and tech to advocate for agile and datadriven approaches

• Development of machine learning models to augment missing product information
• Evaluating model behavior in iterational feedback loops with domain and management
• Deployment of models to production environments
• Developing an UI for continuous model performance management
• Unit and integration testing

• Enhancing the product from proof of concept to minimum viable product
• Assuring quality by setting up model storages, data versioning and testing
• Improvement of machine learning models
• Mock and integrate product maintenance UI with tech team