David Leonardo Diaz Enriquez

Business Intelligence Project Manager at Web International Services Ltd. (WIS)

David Leonardo Diaz Enriquez has a diverse work experience in various industries and roles. David Leonardo currently works as a Business Intelligence Project Manager at Web International Services Ltd. (WIS), where they are responsible for tasks such as business intelligence, revenue tracking, financial analysis, and standard operational procedures. David Leonardo also handles training for affiliate managers, revenue specialists, and analytics for content strategists, and is involved in hiring and training new team members.

Prior to this, David worked as an Artificial Intelligence Engineer at OryxLabs, where they worked on a DNS firewall contract for the Minister of Defense Edge Group. David Leonardo developed a real-time artificial intelligence LSTM neural network algorithm for detecting malicious DGA domains with high accuracy. David Leonardo used Python, TensorFlow, Keras, and Golang Backend for this role.

David's work experience also includes a role as a Cloud Data Engineer at Emaar, where they collaborated with Google Engineers on the Google Analytics 365 strategy of the company. David Leonardo also created a new Big Data Reporting system for Emaar. Before that, they worked as a Data Engineering Researcher at the University of York, where they focused on creating Big Data engineering solutions for government companies and researching the best Big Data software solutions.

Earlier in their career, David worked as a Data Engineer at firefly-e, where they implemented AWS NIST Planing and Optimization and served as a Google Cloud Platform Data Engineering instructor. David Leonardo also had roles as a Data Engineer at San Juan de Dios Manizales and Clínica de Nuestra Señora de la Paz - Colombia, where they primarily worked on ERP software development, servers virtualization, and data warehouse creation and definition.

David's work experience also includes a role as a Software Engineer at Soluciones en tecnologías informáticas de Colombia, where they developed accounting modules software, worked on ERP development for government companies, and used Scrum for software development.

Overall, David Leonardo Diaz Enriquez has a strong background in business intelligence, artificial intelligence, cloud data engineering, and software development across various industries.

David Leonardo Diaz Enriquez has a Master of Science (MSc) degree in Big Data from Fundación Universitaria Internacional de La Rioja - UNIR, which they obtained in 2019. David Leonardo also studied Artificial Intelligence: Deep Learning at Pontificia Universidad Javeriana in 2018. In addition, David pursued studies in Artificial Intelligence at the University of York in 2020, although the specific degree obtained is not provided.

Furthermore, David obtained several certifications. David Leonardo completed courses such as Kubernetes in Google Cloud, Data Engineering, and Engineer Data in Google Cloud, all at Google, with the latter certification obtained in 2022. David also completed courses like Building and Optimize Data Warehouses with BigQuery and BigQuery for Data Warehousing at Google in 2021. Moreover, they obtained certifications in areas like Kafka Essential Training from LinkedIn in 2021, Programming Foundations: Data Structures from LinkedIn in 2020, and Building and Deploying Deep Learning Applications with TensorFlow from LinkedIn in 2020. Additionally, David obtained an EF English Certification Advance C2 Proficient Level from EF English First in 2020. David Leonardo also completed Cloud Computing Careers and Certifications: First Steps, Google Cloud Platform Essential Training, and Google Cloud Platform for Enterprise Essential Training from LinkedIn, all in 2020. Earlier, they received certifications in Calculus Differentiation and Calculus Integration from Universitat Politècnica de València (UPV) in 2018. Lastly, David obtained an edX Honor Code Certificate for Introduction to Linux, although there are no specific details regarding the month and year of completion for this certification.

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