Daniela Cardona
Alzate

I'm

About me

I'm a Spanish and English - speaking Geological Engineer specialized in Data Science. I chose to study geological engineering because I want to help to effectively solve problems related to the environment through the understanding of geological scale processes. Besides, I see the importance of analysing and using data to discover solutions and opportunities in the industry. I'm a person that looks to solve problems in a integral way, to improve the way she thinks and the things she does, to learn new skills and to be guided by principles.

Geological Engineer & Data Scientist

  • Date of Birth: 21 Nov 1993
  • Mobile: (+57) 321 2117408
  • City: Aurora, CO
  • Age: 27
  • Educational Level: Professional
  • E-mail: dcardonaa2111@gmail.com

Facts

I have applied my knowledge into engineering consultancy and educational projects, using softwares as ESRI ArcGIS, AutoCAD, Colab, Visual Studio Code, Google Storage, Google BigQuery and Google Data Studio. Nowadays, I'm studying a bootcamp in Data Science with Python in World Tech Makers.

5

Happy Clients

  • World Tech Makers
  • El Roble ATICO MINING
  • Concessionaire VINUS
  • Concessionaire PACÍFICO 2
  • Mine La Jagua, PRODECO Group

5

Projects

  • Bootcamps Online
  • Maker Kits
  • Soil study for housing pathology in La Jagua de Ibirico, Ces.
  • Stabiliy of a Filtering Plant in Carmen de Atrato, Cho.
  • Stability of an Excavation Material and Rubble Management Area in Bolombolo y Tarso, Ant.

1,740

Work Hours

Skills

ETL process with Python (Pandas, Numpy, Matplotlib, Altair) 80%
Virtualization with VirtualBox and Google Compute Engine 70%
SQL & BigQuery 60%
Web Design Languages (HTML, CSS, Bootstrap) 60%
Data Visualization with Google Data Studio 80%
Infrastructure with GIT, Google Storage and Google BigQuery 70%
ArcGIS ESRI 70%
AutoCAD 60%
Microsoft Office 80%

Resume

Engineering background professional, meticulous, problem solving oriented and with good communication skills. Has solid bases in the main libraries of Python, experienced in ETL process, infrastructure in the cloud and data visualization. Has capacity of searching and reading articles and official documentation. Has general knowledge in computation science, software engineering, SCRUM methodology and frontend development.

Sumary

Daniela Cardona Alzate

  • Aurora, CO
  • (+57) 321 211-7408
  • dcardonaa2111@gmail.com

Education

Geological Engineering

2012 - 2018

National University of Colombia, Medellín Headquarters

Data Science with Python

Present

World Tech Makers

ArcGIS Basic Seminar

2018

National University of Colombia, Medellín Headquarters

English Program for Young People (Programa de Inglés para Jóvenes, PIJ)

2008 - 2012

University of Antioquia, Medellín Headquarters

Professional Experience

Data Scientist

2020

World Tech Makers

  • Identified and understand metrics, variables and risk factors in educational pilots measurement.
  • Extracted, Transformed and Loaded a great amount of public datasets using Python, Google Cloud Platform, Colab notebooks and GitHub.
  • Created analytics boards in Google Data Studio.

Geological Engineer

2019 - 2020

ENCIVIL S.A.S., Medellín, Antioquia

  • In field, observed and registered geological information oriented to produce geotechnical reports. Learned from scratch how to manage AutoCAD and optimized the usage of ArcGIS.
  • Made decisions with limited information and under pressure to model geological profiles and geotechnical oriented reports.
  • Continously communicated and worked with an interdisciplinary team.
  • In field, observed and registered geological information oriented to produce geotechnical reports.
  • Led the delivery of the geological chapter of several small projects reports and the delivery of a group of geological maps for a municipality scale project.
  • Learned from scratch how to manage AutoCAD and optimized the usage of ArcGIS.

Portfolio

Some of the results of my work as Geological Engineer and Data Scientist can be seen below:

  • All
  • ArcGIS
  • AutoCAD
  • Google Data Studio

Services

Devising
Identify data-analytics opportunities and determining correct data sets and variables.

Searching
Gathering large data sets.

ETL process
Extract, Transform and Load data using Python and Google Cloud Infrastructure.

Computer science solutions
Devising and applying models and algorithms.

Extracting insights
Interpreting data to discover solutions and opportunities.

Flexible communication
Visualizing and communicating findings to stakeholders in English or Spanish.

Contact

Location:

Aurora, CO