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Alejandro Dueñas García has a diverse work experience in the field of data science. Alejandro started their career as an intern at the Ministerio de Hacienda y Crédito Público in 2019, where they conducted analysis and reports on various investment projects. Later, they worked as a Pasante at the same organization, specifically in the Dirección General de Presupuesto, where they focused on analyzing and reporting on projects such as Familias en Acción, Jóvenes en Acción, and Madres Comunitarias.

In 2020, Alejandro joined Banco Davivienda as a Data Scientist, where they worked until 2022. In this role, they likely contributed to data analysis and modeling processes to support the bank's operations.

Currently, Alejandro works at Kiwi as the Lead Data Scientist. Alejandro'sresponsibilities involve leading a data science team in developing credit rating, pricing, and lead score models. Additionally, they conduct data analysis to gain business insights and improve efficiency.

Alejandro Dueñas García has an education background in economics and data science. Alejandro completed their undergraduate degree in Economics at Universidad Nacional de Colombia from 2015 to 2020. In 2019, they also pursued a Data Science Professional program at Harvard University. Furthermore, Alejandro obtained a Data Science Nano Degree at Udacity in 2020-2021, focusing on business/office automation, technology, and data entry. Alejandro continued their education at Udacity in 2021-2022 by completing a Deep Learning program, specializing in artificial intelligence.

In addition to their formal education, Alejandro has obtained several certifications. In August 2021, they achieved proficiency in the EF SET Standard English Test (C2 Proficient). Alejandro has also obtained certifications in various aspects of data science and technology. These include certifications from Amazon Web Services (AWS) for Cloud Technical Essentials, DeepLearning.AI for Analyzing Datasets and Training ML Models using AutoML, and the University of Michigan for Database Architecture, Scale, and NoSQL with Elasticsearch, JSON and Natural Language Processing in PostgreSQL, PostgreSQL for Everybody Specialization, Database Design and Basic SQL in PostgreSQL, and Intermediate PostgreSQL. Alejandro also pursued the Mathematics for Machine Learning Specialization from Imperial College London and obtained certifications in Linear Algebra, Multivariate Calculus, PCA, and Machine Learning. Furthermore, they completed certifications related to Generative Adversarial Networks (GANs) through DeepLearning.AI, including Apply GANs, Build Basic GANs, Build Better GANs, and the GANs Specialization. Alejandro also completed certifications in Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, as well as Sequences, Time Series, and Prediction from DeepLearning.AI. Finally, Alejandro pursued computational thinking and data science certifications from MITx on edX, including Introduction to Computational Thinking and Data Science and Computational Thinking Using Python Series X.