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Daniel Calambás

: Demand And Delivery Lead
Habilidades
(Autoevaluación)
Power BI 80%
SQL 80%
MySQL 80%
Bigquery 80%
PostgreSQL 80%
Python 80%
Pentaho data integration 75%
MongoDB 70%
Snowflake 50%
Apache airflow 50%
Idiomas
English:
  • Speaking
    70%
  • Reading
    70%
  • Writing
    70%
Spanish:
  • Writing
    70%
  • Reading
    70%
  • Speaking
    70%
Perfil profesional

Master of Analytics for Business Intelligence and Master of Systems Engineering and Computing from the Pontificia Universidad Javeriana, Colombia. Handles multiple tools, for the development of projects and generate multiple solutions.

Experiencia laboral

Demand And Delivery Lead
bavaria – ab-inbev | Junio 2022 - Actualmente (4 years 5 months)
Habilidades utilizadas

- Support data loading tasks, automating cleaning and data preparation through the use of Python. - Develop a Machine Learning model analyzing the relevance of variables to know the buying behavior of customers - Develop a Machine Learning model to predict the possibility of a customer becoming churn. - Develop a Machine Learning model for the analysis of the behavior of customers who leave products in the shopping cart

Logro principal

Optimize Halloween campaigns through recommendations to customers.

Senior Data Manager
mesfix | Agosto 2019 - Agosto 2021 (2 years)
Habilidades utilizadas

- Establish and lead the data team to establish the data architecture, data standards and the most relevant KPI's. - Develop the company's Data Warehouse using Google Big Query, from different information sources. - Generate dashboards, as a roadmap for the board of directors to know the state of the company.

Logro principal

Creation of the company's data warehouse.

Researcher/Consultant In Big Data And Data Analytics
alianza caoba | Febrero 2018 - Julio 2019 (1 year 5 months)
Habilidades utilizadas

- Support a sentiment analysis project, detection of topics and anonymization of sensitive information. - Develop a project for the analysis of Public Procurement data, developing the back and front-end.

Logro principal

Sentiment analysis of interaction chats between service agents and customers.

Formación académica
Computer Science
Pontificia universidad javeriana | Master
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