Fernando Morales Email & Phone Number
@fmorales.cl
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Who is Fernando Morales? Overview
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Fernando Morales is listed as Data Science - Advanced Analytics and AI at TRKKN, a with 241 employees, based in Santiago, Santiago Metropolitan Region, Chile. AeroLeads shows a work email signal at fmorales.cl and a matched LinkedIn profile for Fernando Morales.
Fernando Morales previously worked as Data Science - Advanced Analytics & AI at Trkkn and Business Lead at Annalect. Fernando Morales holds Master'S Degree, Data Science from Facultad De Ingeniería Y Ciencias De La Universidad Adolfo Ibáñez.
Email format at TRKKN
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AeroLeads found 1 current-domain work email signal for Fernando Morales. Compare company email patterns before reaching out.
About Fernando Morales
I am a versatile Data Scientist with a solid educational background, including an MSc in Data Science and a degree in Informatics Engineering. I have proven expertise in Software Engineering, astronomical data processing and machine learning, with a demonstrated history of working in the research industry (astronomy). Skilled in Python, Linux, and database management, I am adept at developing data-driven solutions and collaborating with interdisciplinary teams. As a strong communicator and problem-solver, I am committed to continuous learning and personal growth.
Listed skills include Unix, Linux, Postgresql, Sql, and 15 others.
Fernando Morales's current company
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Fernando Morales work experience
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Data Science - Advanced Analytics & Ai
Current
Business Lead
Science Archive Content Manager
• Worked on the manual and pipeline-assisted processing of astronomical data for end-users within the international ALMA community.• Assured quality control and data curation for the observatory's data output.• Led the development of tools to orchestrate the ALMA Pipeline worldwide, including the creation of the DARED (Data Analysis Reduction Environment Distribution). This software implemented data processing workflows to improve data quality and reduce manual intervention in the data pipeline.• With a deep understanding of ALMA observations data models, I have developed a keen eye to identify, troubleshoot, and resolve issues that may arise during the data acquisition, processing, and analysis stages.• By leveraging my deep understanding of ALMA observations data models and my ability to fix issues, I contribute significantly to the ongoing improvement of data processing, distribution, and analysis within the observatory.Backend Software Engineer, DevOps, ALMA Department of Computing.• Designed, developed, and maintained backend systems for the ALMA Observatory, focusing on performance, scalability, and reliability.• Implemented DevOps practices such as continuous integration, continuous delivery, and infrastructure as code to streamline the development and deployment process.• Collaborated with cross-functional teams to identify bottlenecks and optimize system performance, reducing downtime and improving overall system efficiency.
Archive Operator
ALMA Observatory Data Expertise: * Key technical resource for data archive and processing pipeline * Provided expert guidance on data management and processing techniques * Troubleshot and resolved complex technical issues * Ensured smooth operation of archive and pipeline systems * Maintained and monitored ALMA Observatory's scientific archiveData Processing: * Developed and optimized data processing procedures * Ensured accurate and efficient handling of large-scale astronomical data * Collaborated with scientists and researchers * Designed custom data processing solutions tailored to research needsResponsibilities: * Continuously monitored ALMA Archive and Pipeline, data flow, and performance * Diagnosed and reported issues in ALMA Archive and Pipeline, data flow, and performance * Troubleshot issues in ALMA Archive and Pipeline, data flow, and performance * Performed regular Archive/Pipeline Operations: data handling, maintenance, ingestion, updates, cleaning, and media managementSupport & Collaboration: * Supported PMG, DMG, SWG groups and individual users from ALMA Observatory, including ALMA Regional Centers * Developed Archive/Pipeline operational procedures in collaboration with related groupsCreated tools and documentation to meet operational requirements
System Administrator.
IT administrator and UNIX system administrator. In charge of administration, maintaining and planning of IT resources and infrastructure at Escuela de Ingeniería en Informática.
Part-Time Academic Instructor
Lecturer of:- “Laboratorio de programación”, to Informatics Engineering.- “Programación computacional”, to Mechanics Engineering.- “Programación”, to Electronics Engineering.- “Administración de servidores Linux”, to Escuela Naval Arturo Prat.
System Administrator.
Part-Time Academic Instructor.
Fernando Morales education
Master'S Degree, Data Science
Ingeniero De Ejecución En Informática, Computer Science
Frequently asked questions about Fernando Morales
Quick answers generated from the profile data available on this page.
What company does Fernando Morales work for?
Fernando Morales works for TRKKN.
What is Fernando Morales's role at TRKKN?
Fernando Morales is listed as Data Science - Advanced Analytics and AI at TRKKN.
What is Fernando Morales's email address?
AeroLeads has found 1 work email signal at @fmorales.cl for Fernando Morales at TRKKN.
Where is Fernando Morales based?
Fernando Morales is based in Santiago, Santiago Metropolitan Region, Chile while working with TRKKN.
What companies has Fernando Morales worked for?
Fernando Morales has worked for Trkkn, Annalect, Alma, Alma Observatory / Aui, and Pontificia Universidad Católica De Valparaíso.
How can I contact Fernando Morales?
You can use AeroLeads to view verified contact signals for Fernando Morales at TRKKN, including work email, phone, and LinkedIn data when available.
What schools did Fernando Morales attend?
Fernando Morales holds Master'S Degree, Data Science from Facultad De Ingeniería Y Ciencias De La Universidad Adolfo Ibáñez.
What skills is Fernando Morales known for?
Fernando Morales is listed with skills including Unix, Linux, Postgresql, Sql, Mysql, Bash, Programming, and Html.
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