About Me
Data scientist focused on turning data into clear insights and practical solutions
My Story
I am a data science master’s student with a background in software development and several years of experience in corporate environments. I enjoy exploring data, building models, and creating visualisations that explain insights clearly. My professional experience taught me how to design scalable solutions, collaborate with teams, and deliver tools that support real decision-making. Now my goal is to apply those skills to data science, focusing on statistics, machine learning, and visualisation to build solutions that are practical and valuable.
I became interested in data science because I was curious about how data was being used in different areas, from business to health, to solve real problems and improve decision-making. That curiosity grew into a deeper interest in how data can be used to build tools and applications that make a difference in people’s lives.
During my studies, I’ve worked on projects involving statistics, machine learning, and visualization. I focus on how these techniques can be applied to create solutions that are useful, easy to understand, and relevant to real-world needs.
I'm always looking for opportunities to learn more, grow my skills, and build things that are both meaningful and valuable.
2+
Years Learning Data Science
5+
Academic & Personal Projects
8+
University Courses Completed
10+
Technologies
Experience & Education
Work Experience
Software Developer
ASSA Compañía de Seguros
2020 – 2024
Designed, evaluated, and proposed internal software solutions involving backend services, databases, and data visualisation. Contributed to the development of digital tools that supported business decision-making.
Software Developer
Tigo Panamá
2015 – 2020
Developed and implemented internal applications to improve operational efficiency. Participated in the full software development cycle and collaborated with business teams to deliver scalable solutions.
Education
Master of Data Science
Victoria University of Wellington
2024 – Present
Advanced training in machine learning, statistical methods, and big data. Focused on analyzing complex data across disciplines and applying techniques to real-world problems.
Bachelor in Systems and Computing Engineering
Technological University of Panama
2009 – 2015
Focused on software engineering, databases, and systems analysis, with training in designing and developing innovative technological solutions.
Academic Performance
Master of Data Science Course Grades
2024 Courses
| Course | Title | Grade |
|---|---|---|
| AIML420 | Artificial Intelligence | A |
| AIML421 | Machine Learning Tools and Techniques | A+ |
| AIML425 | Neural Networks and Deep Learning | A- |
| DATA471 | Practical Data Science | A+ |
| DATA472 | Data Management & Programming | A+ |
| STAT292 | Applied Statistics | A |
2025 Courses
| Course | Title | Grade |
|---|---|---|
| AIML427 | Big Data | A |
| DATA473 | Statistical Modelling for Data Science | A+ |
| DATA491 | Mathematics for Data Science | A |
| DATA501 | Advanced Techniques in Data Science | |
| STAT432 | Computational Statistics | |
| STAT438 | Generalised Linear Models |