Daniela Martin Vega

daniela-martin-vega

Daniela Martin Vega

MSC. in Information and Communication Sciences · Full-Stack Software Developer
Bogotá, Colombia
📱 (+57) 305 939 9347
📧 dmartinvega@gmail.com
💻 LinkedIn
🌐 Personal website

Profile

I am passionate about designing and creating technological solutions with impact in society and everyday life, through research and application of concepts and theories. I love statistics and informatics. I am a geoinformatics engineer, specialist in software engineering, and currently, I am a student of the master's degree in information science and communications with emphasis on software engineering. My current research areas are machine learning, software engineering, astronomy, astrophysics, GIS, and industry 4.0.

I have more than 5 years of work experience as a full-stack software and research engineer with experience in technology companies focused on the manufacturing area. I have also worked as a researcher engineer, data scientist, teacher, and mentor.

Education

Universidad Distrital Francisco José de Caldas
Bogotá, Colombia

MSC. in Information and Communication Sciences with a Minor in Software Engineering
Aug. 2019 - Dec. 2022

  • Master by Research: MScR
  • Thesis name: "Classification of Transient Astronomical Events using Recurrent Neural Networks". Original name (in Spanish): "Clasificación de Eventos Astronómicos Transitorios con Redes Neuronales Recurrentes"
  • Technologies used for the thesis: Python, Scikitlearn, Keras, Tensorflow, Pandas, Numpy, MLFlow, Git, LaTeX, DVC
  • Grade point average 3.87 out of 4.0

Software Engineering Specialization
Aug. 2017 - Jul. 2018

  • Thesis name: "Web Information System Prototype Applying Test Driven Development of the Occupational Health and Safety Management System in Manufacturing Companies: Case Study Munkys SAS". Original name (in Spanish): "Prototipo de Sistema de Información Web Aplicando Desarrollo Guiado por Pruebas del Sistema de Gestión de la Seguridad y Salud en el Trabajo en Empresas de Producción: Caso de Estudio Munkys SAS"
  • Technologies used for the thesis: Java, JavaScript, PostgreSQL, Spring, Angular, Springboot, Mockito, Cucumber, Git, LaTeX
  • Grade point average 3.85 out of 4.0

Surveying & Geomatics Engineering Technology with a Minor in Computer Science
Aug. 2011 - Mar. 2017

  • Teaching assistant of the subject Databases
  • Thesis name: "Analysis of Soil Loss in the Middle and Upper Basins of the San Pedro River in Puerto Libertador, Córdoba; with the Purpose of Implementing Alternatives for Water Resource Conservation". Original name (in Spanish): "Análisis de la Pérdida de Suelo en las Cuencas Media y Alta del Río San Pedro en Puerto Libertador, Córdoba; con Fines de Implementación de Alternativas para la Conservación del Recurso Hídrico"
  • Technologies used for the thesis: ArcGIS, Python, Pandas, ArcPy, LaTeX
  • Grade point average 3.63 out of 4.0

Speaker

Papers

Risk Automatic Prediction for Social Economy Companies using Camels WEA

DANiELA MARTiN‑VEGA, JOSEPH GALLEGO‑MEjIA, FABiO A GONZÁLEZ 2022

  • Proposed a prediction model based on a machine learning approach using the random forest algorithm with historical data provided by each SEE.
  • Concatenated three consecutive periods of data.

Classification of Transient Astronomical Events using Recurrent Neural Networks VII Congreso Colombiano de Astronomía

DANiELA MARTiN‑VEGA, GERMÁN CHAPARRO, OCTAViO JOSÉ SALCEDO PARRA 2022

  • Presented a methodology for automatic classification of transient astronomical events using recurrent neural networks and training the model on real data.
  • Original name (in Spanish): Clasificación de Eventos Astronómicos Transitorios con Redes Neuronales Recurrentes
  • This is the most important Congress in Colombia in the field of Astronomy and Astrophysics.

Risk Automatic Prediction for Social Economy Companies using Camels Springer CCIS

JOSEPH GALLEGO‑MEjIA, DANiELA MARTiN‑VEGA, FABiO A GONZÁLEZ 2022

  • Proposed a prediction model based on a machine learning approach using the random forest algorithm with historical data provided by each SEE.
  • Concatenated three consecutive periods of data.

Certificación digital de documentos académicos basada en la tecnología de blockchain TIA

STEVE MOSCOSO, DAViD F SUÁREZ, DANiELA MARTiN‑VEGA 2019

  • Described the main features of blockchain and how they could be used in various official document issuance processes, using academic documents as a use case.

Análisis multitemporal de la pérdida de la capacidad hídrica a causa de los cambios generados en los suelos usando imágenes Landsat: Estudio de caso Córdoba‑Colombia entre los años 1985 y 2016 XVII Congreso de la Asociación Española de Teledetección (AET)

DANiELA MARTiN VEGA et al. 2017

  • Quantified the loss of water capacity by obtaining and evaluating each of the elements of the Revised Universal Soil Loss Equation in the middle and upper basins of the San‑Pedro river, which supplies water resources to the municipality of Puerto Libertador (Córdoba‑Colombia).

Posters

  • XVII Congreso de la Asociación Española de Teledetección (AET) Murcia, Spain
    • ANÁLiSiS MULTiTEMPORAL DE LA PÉRDiDA DE LA CAPACiDAD HíDRiCA A CAUSA DE LOS CAMBiOS GENERADOS EN LOS SUELOS USANDO iMÁGENES LANDSAT: ESTUDiO DE CASO CÓRDOBA‑COLOMBiA ENTRE LOS AÑOS 1985 Y 2016
    • Oct. 2017
  • Lab Internet Inteligente. in English: Intelligent Internet Universidad Distrital
    • MEMBER ‑ RESEARCHER Aug. 2019 ‑ Dec. 2022
      • Research group with classification A1 given by Minciencias. This is the highest category in which the Ministry of Science classifies research groups and laboratories.
  • Program Committee
    • 2021 ‑ 2022 Speaker and Mentor, Universidad de Santiago de Chile ‑ Innovation and Entrepreneurship Promotion Santiago, Chile
    • 2018 Mentor and Jury, Universidad de Concepción ‑ Entrepreneurship Program ‑ GearBox Concepción, Chile

Honors and medals

  • 2022
    • Full scholarship for the training program in Machine Learning and Data Science, Universidad Nacional de Colombia Bogotá, Colombia
  • 2019 ‑ 2022
    • Full scholarship for master’s studies (awarded due to the high academic performance), Universidad Distrital Francisco José de Caldas Bogotá, Colombia
  • 2017 ‑ 2018
    • Half scholarship for specialization studies (awarded due to the high academic performance), Universidad Distrital Francisco José de Caldas Bogotá, Colombia
  • 2017
    • Top 8% in the graduation ceremony in geoinformatics (sixth place in graduation ceremony over seventy six), Universidad Distrital Francisco José de Caldas Bogotá, Colombia
  • 2016
    • Best Saber Pro in geoinformatics at national level, Similar to GRE in the U.S ‑ ICFES ‑ Colombian Higher Education Examination Bogotá, Colombia
    • Selected by merit in the call for applications to be a monitor of the subject Databases, Universidad Distrital Francisco José de Caldas Bogotá, Colombia
  • 2012
    • Honorable mention and scholarship for having one of the ten highest grade point averages in the whole degree, Universidad Distrital Francisco José de Caldas Bogotá, Colombia
  • 2010
    • Best result in the national exam for high school of the whole school ‑ ICFES, Colegio Nuevo Montessoriano Bogotá, Colombia
    • Best student ‑ 11th grade (senior year), Colegio Nuevo Montessoriano Bogotá, Colombia
    • Best student ‑ 10th grade, Colegio Nuevo Montessoriano Bogotá, Colombia

Skills

Soft skills

Hard worker, good communicator, resilient, lifelong learner, honest, passionate about teaching, purposeful, motivational, leader, focused

Languages

  • Spanish (Native)
  • English (C1)
  • French (B2)

Programming

Python, Java, Javascript, Android, Matlab, LaTeX, R, .NET, C

Databases

PostgreSQL, MongoDB, MySQL, Microsoft Azure

Back-end

Spring framework, SpringBoot, FastAPI, Django, REST API

Front-end

React, Redux, HTML5, Javascript, Angular, AngularJs, CSS, SCSS

Visualization

Matplotlib, Plotly, seaborn, bokeh

DevOps

Docker, Jenkins, Git, JHipster

MLOps

MLFLow, DVC, Tensorflow, Pytorch, Keras, Scikitlearn, Pandas, Numpy, Turicreate

NLP

spacy, nltk, Gensim, fastText, Hugging Face, EmoLex

Cloud computing

Microsoft Azure, Heroku

GIS

ArcGIS, ArcPy, ArcObjects, ERDAS, QGIS, PostGIS

Work Experience

FULL‑STACK SOFTWARE ENGiNEER, RESEARCHER AND DATA ANALYST

Munkys | Bogotá, Colombia | Mar. 2017 - Currently

ASSiSTANT TEACHER OF MACHiNE LEARNiNG, NATURAL LANGUAGE PROCESSiNG (NLP) AND MACHiNE LEARNiNG OPERATiONS (MLOPS) COURSES

Universidad Nacional de Colombia | Bogotá, Colombia | Jan. - Dec. 2022

TEACHER OF INTRODUCTiON TO PROGRAMMiNG AND DATA ANALYSiS iN PYTHON COURSES

Universidad Nacional de Colombia | Bogotá, Colombia | Jan. - Oct. 2022

DATA SCiENTiST FOR THE TEACHER ASSESSMENT SYSTEM

Universidad Nacional de Colombia | Colombia | Aug. 2020 - Oct. 2020, Oct. 2021 - Feb. 2022

ASSiSTANT TEACHER OF NATURAL LANGUAGE PROCESSiNG (NLP) COURSE

Universidad Nacional de Colombia | Bogotá, Colombia | Jun. - Sep. 2021

TEACHER iN THE MiSiON TIC 2022 PROGRAM

Universidad Nacional de Colombia | Bogotá, Colombia | Sep. 2020 - Dic. 2020

GIS DEVELOPER AND MANAGER OF GEOGRAPHiC AND CARTOGRAPHiC PROJECTS

IGAC (Colombian Institute of Geography, Cadastre and Geodesy) | Bogotá, Colombia | Mar 2016. - Jun. 2018

JUNiOR SOFTWARE DEVELOPER

Munkys | Bogotá, Colombia | Feb. 2015 - Mar. 2017

TRAiNEE

SATOR - Grupo Argos | Medellín, Colombia | Jul. 2014 - Jan. 2015

Extracurricular Academic Activities

  • 2022 Universidad Nacional de Colombia, Big Data UNAL
  • 2022 Universidad Nacional de Colombia, Introduction to Machine Learning with Python UNAL
  • 2022 Universidad Nacional de Colombia, Data analysis and visualization with Python UNAL
  • 2020 DeepLearning.AI, Neural Networks and Deep Learning Coursera
  • 2020 University of Washington, Machine Learning Foundations: A Case Study Approach Coursera
  • 2018 Atlassian, Version Control with Git Coursera
  • 2018 Universidad Distrital Francisco José de Caldas, Soft‑computing seminar ‑ Machine Learning Universidad Distrital
  • 2014 ‑ 2017Universidad Distrital Francisco José de Caldas, French as Second Language (ESL) ‑ Up to B2 level ILUD
  • 2015 IDB ‑ Inter‑American Development Bank, Urbanization in Latin America edX
  • 2014 University of Maryland, Developing Innovative Ideas for New Companies:The First Step in Entrepreneurship Coursera
  • 2013 Cambridge University, FCE ‑ B2 Cambridge University
  • 2011 ‑ 2014Universidad Distrital Francisco José de Caldas, English as Second Language (ESL) ‑ Up to B2 level ILUD

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