Carlos Eduardo
About me: have always been surrounded by information and fascinated by the power of data, often without being aware of it. I loved exploring numbers and looking for patterns. Later, I realized that I could use my abilities to improve my surroundings. I have used my skills to improve the performance of systems and make more informed decisions, Applying "Engineering Data Management" has allowed me to create viable alternatives where there was apparent chaos, the strategic use of tools such as Python, SQL, and Power BI have allowed me to add value in each of the companies where I have worked in the sectors of Electric Power, Oil, Retail. My training as a Data Scientist and web developer with more than 6 years as an IT Specialist with solid experience as a Data Engineer, Data Analyst and Machine Learning, web development (back-end) in Python with frameworks such as Django and FastAPI systems development in Monolithic Infrastructures and Microservices, experience with Django REST Framework, Celery, Redis, Pandas, SQL, Power BI and basic approach to Google Cloud, AWS and Microsoft Azure. Exploratory data analysis is one of my passions since it allows me to discover patterns in the data and propose the most appropriate model to address the questions and problems that arise. For this reason, I am passionate about the study of data science and how it can help us better understand the world around us. If you are looking for someone passionate about data and with experience in "Engineering Data Management", do not hesitate to contact me. I am sure that together we can achieve great things. ## Versión en Español Siempre he estado rodeado de información y me ha fascinado el poder de los datos, muchas veces sin ser consciente de ello. Me encantaba explorar los números y buscar patrones. Luego, me di cuenta que podía usar mis habilidades para mejorar lo que me rodeaba. He usado mis habilidades para mejorar el rendimiento de los sistemas y tomar decisiones más informadas, aplicar "Engineering Data Management" me ha permitido crear alternativas viables donde existía un aparente caos, el uso estratégico de herramientas como Python, SQL y Power BI me han permitido agregar valor en cada una de las empresas donde me he desempeñado en los sectores de Energía Eléctrica, Petroleo, Retail. Mi background en Data Scientist y web developer con más de 6 años como Especialista en TI con sólida experiencia como Ingeniero de Datos, Data Analyst y Machine Learning, desarrollo web (back-end) en Python con frameworks como Django y FastAPI desarrollo de sistemas en infraestructuras Monolíticas y Microservicios, experiencia con Django REST Framework, Celery, Redis, Pandas, SQL, Power BI y enfoque básico de Google Cloud, aws, y Microsoft Azure. El análisis exploratorio de datos es una de mis pasiones, ya que me permite conocer patrones en los datos y proponer el modelo más adecuado para abordar las preguntas y problemas que se presenten . Por eso, me apasiona el estudio de la ciencia de datos y cómo puede ayudarnos a entender mejor el mundo que nos rodea. Si estás buscando a alguien apasionado por los datos y con experiencia en "Engineering Data Management", no dudes en contactarme. Estoy seguro de que juntos podemos lograr grandes cosas.
Total Score: 36
Homework submissions
Homework 1: Docker, SQL and Terraform
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Workflow Orchestration
Score: 7 = 5 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
Workshop 1: Ingestion with dlt
Score: 7 = 4 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/carlos-villarreal-paredes_dataengineering-ingestiondedatos-dlt-activity-7296557811226849283-qwT3?utm_source=share&utm_medium=member_desktop&rcm=ACoAAApocvMBf-N5SFR53KOWhyEN8Cj-8XninV0
- https://x.com/carlosv8403975/status/1890802009139220688
- https://x.com/carlosv8403975/status/1890802555510296854
Homework 3: Data Warehousing
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 4: Analytics Engineering
Score: 2 = 2 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 5: Batch
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Project submissions
No project submissions found.