About Me
I am a Systems Engineer with a strong background in software development who, driven by a genuine passion for data, has transitioned my career toward the field of Data Science. This shift has not only been a natural evolution of my technical journey but also a conscious decision to explore how data can generate meaningful impact across organizations.
To support this transition, I have earned several industry-recognized certifications, including Certified Big Data Engineer and, more recently, Data Analyst. Through this learning path, I have developed strong skills in building data pipelines, data transformation, exploratory data analysis, modeling, and data visualization—all with a clear focus on driving value from information.
My goal is to continue growing in the field of Data Science, applying my knowledge and skills to solve complex problems and contribute to the success of organizations through data-driven decisions. I am excited about the opportunities that this field offers and I am committed to continue learning and adapting to new technologies and trends.
Data Analyst / Data Engineer
Some general facts about me:
- Degree: Systems Engineering and Computing
- Master: Master in Systems Engineering (Thesis on course)
- City: Pereira, Colombia
- Email: carcga@yahoo.com
My professional aproach is focused on data analysis, data engineering, and creating solutions that enable organizations to make informed data-driven decisions. I am committed to continuous learning and constant improvement of my skills to adapt to the changing demands of the Data Science field.
Skills
These are the main skills I have acquired in the context of data science. In some of them I have worked more deeply, while in others I am still in the process of learning. My goal is to continue developing in all these areas to add value to organizations through data science.
¡ I never stop learning !
Strengths
These are the main strengths that I consider to have and that have helped me in my personal life, but especially in a work context.
Analytical Thinking
Effective Communication
Leadership
Methodical
Problem Resolution
Adaptability
Self - Learning
Teamwork
Certificates
The next certificates are the evidence of the importance that self-learning has for me,
as it keeps me up to date in this technological world that changes, advances and grows at a frenetic speed,
leaving behind anyone who does not update frequently.
In this way i am also consistent with the phrase that I have always repeated to my students:
Certified Data Analyst
Latam Challenge Academy - 2025
It took 258 hours of effort, dedication, study, practice and commitment to learn how to be a true data analyst.
Certified Big Data Engineer
Arcitura Inc. - 2018
This was a completely theoretical course, but I was trained on Big Data platforms and solutions, including processing, storage and pipeline construction.
Certified Big Data Professional
Arcitura Inc.- 2017
This course, also theoretical, was my first step into Data Science and allowed me to gain an understanding of the main concepts, technologies, models and methodologies used to manage a big data environment.
BigData: Data Visualization
Coursera/UAB - 2021
Course given by the Universidad Autónoma de Barcelona through Coursera, in which I learned not only the concepts about visualization, best practices and so on, but I learned directly on the platform Tableau.
Google Cloud Product Fundamentals
Coursera/Google - 2021
In this course offered directly by Google through Coursera, I was able to learn the basics of cloud services provided by Google Cloud Platform, especially those related to data engineering topics.
SCRUM Professional Course
Platzi - 2022
Doing this course was required to work in Open Intelligence, where we used an agile methodology that was actually a mix between Scrum and SaFe; in it I learned what is necessary to perform properly in a working environment guided by this methodology.
SQL for Data Analysis
Latam Challenge Academy - 2024
Here I reinforced my knowledge of the SQL language, especially what is needed to do data analysis, such as data cleaning, groupings, filters and so on.
This course is one of the modules that conform the Data Analyst Career offered by Academia Desafío Latam.
Python for Data Analysis
Latam Challenge Academy - 2024
In this course I learned, from the immense world of the language Python, related to data analysis, ie Pandas, Numpy, Matplotlib, Seaborn.
This course is one of the modules that conform the Data Analyst Career offered by Academia Desafío Latam.
Statistical Analysis with Python
Latam Challenge Academy - 2025
This course expanded my knowledge of Python but this time oriented to the statistical part required for analysis.
This course is one of the modules that conform the Data Analyst Career offered by Academia Desafío Latam.
Insights Visualization and Communication
Latam Challenge Academy - 2025
In this course I honed my knowledge about the visualization platform Tableau, in addition to expanding the general concepts on correct data visualization.
This course is one of the modules that conform the Data Analyst Career offered by Academia Desafío Latam.
PL/SQL de ORACLE
Udemy - 2021
I took this course before making the professional shift in my career towards data science, because I needed to perfect my knowledge about how to program directly on a database using this language.
API REST Introduction
EDTeam - 2021
This little introductory course was important to teach me the basics of what REST APIs are, which I would later have to apply at a work level as a backend developer.