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Marcos Diaz Carmona Email & Phone Number
Ssr Advanced Analytics
at
MODO
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 100%
Current company
Role
Ssr Advanced Analytics
Location
Buenos Aires, Buenos Aires Province, Argentina
Company size
Who is Marcos Diaz Carmona? Overview
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Quick answer
Marcos Diaz Carmona is listed as Ssr Advanced Analytics at MODO, a company with 460 employees, based in Buenos Aires, Buenos Aires Province, Argentina. AeroLeads shows a matched LinkedIn profile for Marcos Diaz Carmona.
Marcos Diaz Carmona previously worked as Ssr Data Analyst at Modo and Analytics Engineer at Modo. Marcos Diaz Carmona holds Bachelor'S Degree Computer Science from Uade.
Company email context
Email format at MODO
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MODO
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Profile bio
About Marcos Diaz Carmona
I am a student of Software Degree, I am currently working as Data Analyst and teaching Data I am passionate about technology and learning new things every day.💻 Data Technician Skills:SQLServer, MySQL, AWS AthenaSAS Guide, SAS MinerPython, Jupyter NotebooksGit, github📊Data Visualization:Power BIQuickSightTableauSeabornMatplotlibGithub:https://github.com/marcosdiazc
Listed skills include Customer Experience, Pandas, Data Science, Jquery, and 38 others.
Current workplace
Marcos Diaz Carmona's current company
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Modo
11 roles
Marcos Diaz Carmona work experience
A career timeline built from the work history available for this profile.
Ssr Data Analyst
Current
Jul 2023 - Present
Analytics Engineer
- Desarrollo del datamart de promociones.- Analytics dentro del negocio de promos.- Implementacion de productos basados en datos.- Modelado de datos desarrolados en dbt y en Amazon Athena.- Explotación de datos en Amazon QuickSight y Superset.- Control de versiones en git.- Metodología de trabajo Scrum.
Jun 2022 - Jul 2023
Jan 2024 - Present
Professor Data Analytics
Mar 2023 - Sep 2024
Data Analytics Tutor
- Se dicta módulos de SQL Server y teoría de Modelado de datos.- Se dicta modulo de visualización de datos en Microsoft Power BI
Feb 2021 - Mar 2023
Data Analyst
·Enrichment, Generation and Normalization of Databases.·Development of dashboards and construction of new KPIs.·Generation and automation of reports.· Management of large volumes of data (Big Data) and data processing optimization techniques.·Implementation and experimentation of predictive Machine Learning models
Aug 2021 - Jul 2022
Scrum Master
· Facilitator of Scrum ceremonies (Planning, Retro, Dailys, Synchro).· Collaborate with the Product Owner in the best way to manage and prioritize the product backlog with different frameworks.· Collaboration in the agile community within the company and other scrum teams.
May 2020 - Jul 2021
Customer Experience Analyst
· Working with agile methodologies.· Implementation of value initiatives taking into account the customer journey.· Data analysis for data driven decision making, using SQL, SAS, and Power BI techniques and tools
Sep 2019 - May 2020
Team Lead
May 2017 - Sep 2019
Customer Service Agent
Oct 2016 - May 2017
2 education records
Marcos Diaz Carmona education
FAQ
Frequently asked questions about Marcos Diaz Carmona
Quick answers generated from the profile data available on this page.
What company does Marcos Diaz Carmona work for?
Marcos Diaz Carmona works for MODO.
What is Marcos Diaz Carmona's role at MODO?
Marcos Diaz Carmona is listed as Ssr Advanced Analytics at MODO.
Where is Marcos Diaz Carmona based?
Marcos Diaz Carmona is based in Buenos Aires, Buenos Aires Province, Argentina while working with MODO.
What companies has Marcos Diaz Carmona worked for?
Marcos Diaz Carmona has worked for Modo, Tengo Data, Coderhouse, Telecom Argentina, and Telecom Personal Argentina.
How can I contact Marcos Diaz Carmona?
You can use AeroLeads to view verified contact signals for Marcos Diaz Carmona at MODO, including work email, phone, and LinkedIn data when available.
What schools did Marcos Diaz Carmona attend?
Marcos Diaz Carmona holds Bachelor'S Degree Computer Science from Uade.
What skills is Marcos Diaz Carmona known for?
Marcos Diaz Carmona is listed with skills including Customer Experience, Pandas, Data Science, Jquery, Node.Js, User Experience, Bases De Datos, and Tensorflow.
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