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Sebastian Ricci
Madrid, Spain
I'm a full stack software engineer/developer with experience in data analytics. I specialize in creating scalable, maintainable, and efficient web applications using a variety of technologies. I have a strong background in data analysis and enjoy using my skills to uncover insights and drive business decisions. You can find some of my open-source projects on my GitHub profile. Feel free to reach out to me if you have any questions or want to collaborate on a project.
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List your work history, including any contracts or internships
Amazon.com
Jun 2021 - Oct 2021 (4 months)
Business Analyst Intern
• Coordinated full-scale automation projects on operation processes across South/Middle/Eastern Europe and UK totaling in +65 days saved each year per region equivalent to a monetary cost saved of $30k per year
• Responsible for identifying improvements in current package scheduling and routing solutions to move customer orders from its vendors and fulfillment centers to Amazon’s network of sortation centers, air facilities, and delivery stations in the most efficient way possible
• Oversaw the onboarding and international integration of 6 continuous improvement projects by coordinating efforts between Operations and Scheduling teams located in Europe and UK
• Led the development of automating Amazon Logistics weekly schedule requests in Europe and UK using SQL and VBA to reduce workload from 2 hours per request to 20 minutes and eliminate manual errors
• Responsible for identifying improvements in current package scheduling and routing solutions to move customer orders from its vendors and fulfillment centers to Amazon’s network of sortation centers, air facilities, and delivery stations in the most efficient way possible
• Oversaw the onboarding and international integration of 6 continuous improvement projects by coordinating efforts between Operations and Scheduling teams located in Europe and UK
• Led the development of automating Amazon Logistics weekly schedule requests in Europe and UK using SQL and VBA to reduce workload from 2 hours per request to 20 minutes and eliminate manual errors