ToDo CLI App
Command-line application for managing a simple to-do list with persistent storage.
Martín Gnecco
Data Science Student
Data Science student transitioning from an international culinary leadership career.
I am currently studying Data Science at Kristiania University and building a strong foundation in Python, statistics, and data analysis. My work focuses on structured, hands-on projects that emphasize fundamentals, clarity, and reproducible workflows.
Projects
Selected work used to reinforce core Data Science and software fundamentals.
Cryptool CLI
Educational CLI tool implementing basic classical encryption algorithms using argparse.
Data Science Notebooks
Jupyter notebooks based on university coursework, implementing statistics and data analysis concepts.
Gorceries Application
A learning project focused on collecting data from public API endpoints used by Norwegian online grocery vendors. The goal is to continue developing the app alongside my studies, eventually incorporating statistical analysis to generate recommendations and notifications based on user purchase history. Currently under construction.
Command line Notes App
Command line Application written in Go, utilizing the Bubbletea framework to read a directory from the system containing personal notes as .md files, and rendering them with a better style. This is mainly a solution to read and manage my own study notes.
Relevant Coursework
Courses completed and currently in progress as part of the Bachelor in Data Science at Kristiania University.
Completed
- Python Programming Core programming concepts and problem-solving
- Databases Relational models, SQL, and data management
- Data Ethics and Regulations Ethics, GDPR, and data governance
- Linear Algebra Vectors, matrices, and mathematical foundations
Current semester
- Probability and Statistics Statistical reasoning and probabilistic models. Python implementations.
- Big Data and Cloud Computing Distributed systems and scalable data processing. Hadoop and Spark (PySpark), Mongo DB.
- Visual Analytics Exploratory analysis and data visualization. Profficiency with Tableau.
- Information Security Security principles and risk awareness
About
Professional background and current focus.
Before transitioning into Data Science, I spent over a decade working as a chef, including leading kitchens in Michelin-starred restaurants in Mexico, Sweden, and Norway. These environments required discipline, precision, and the ability to perform consistently under pressure while coordinating diverse, international teams.
That experience strongly shapes how I approach Data Science today. I value clear processes, well-defined inputs and outputs, and work that can be reproduced, reviewed, and improved over time. I am currently focused on developing a solid foundation in Python, statistics, and data analysis, using practical projects to reinforce core concepts and professional workflows.
Contact
Email: mgnecco48@gmail.com
GitHub: github.com/mgnecco48
LinkedIn:
linkedin.com/in/martín-gnecco