Lorenzo Tapia is a data scientist with 8 years’ experience applying ML and analytics across banking, telco and oil distribution, currently building end-to-end AI solutions at Exolum. He designs and deploys production models and IoT/Edge applications using Azure, Docker, Python and Nvidia Jetson, moving projects from business need to CI/CD-backed cloud deployments within rapid 12-week MVP cycles. Previously he delivered fraud and credit-risk models that improved customer-base outcomes by up to 20%, and built dashboards and monitoring to keep models accountable in production. With a background in business administration and hands-on IT troubleshooting, he blends commercial context, data engineering discipline and practical automation to prioritize quality results. Colleagues describe him as adaptive and eager to push beyond comfort zones, routinely translating complex analytics into clear business value.
8 years of coding experience
3 years of employment as a software developer
Master´s degree in Data Science, Master´s degree in Data Science at KSchool
Troubleshooting, and repairing computer and network systems., Troubleshooting, and repairing computer and network systems. at Escuela de oficios
Bachelor's Degree in Business Administration and Management, Bachelor's Degree in Business Administration and Management at Universidad Rey Juan Carlos
Master Final Project - Improving User Experience in the Fashion Industry with Deep Learning - KSchool TFM
Contributions:10 PRs, 47 pushes, 7 branches in 2 months
pythondeep-learninguser-experiencemasterindustry
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