CV - Martina García Mejía
Physics student at Universidad Nacional de Colombia with professional experience in data-oriented software development and data engineering on Microsoft Azure. I have designed and maintained applications and pipelines in Python, Node.js, and cloud services, participating in process automation, large-scale data analysis, and the construction of technological solutions for enterprise clients.
I possess solid foundations in programming, mathematical modeling, and solving complex problems. I am interested in developing my career in data analysis and backend software engineering, contributing to the design, maintenance, and scaling of robust, high-impact systems.
Currently developing skills in machine learning with PyTorch. Outside of work, I train for duathlon and practice photography.
Technical Skills
Stack
Languages: Python • R • SQL • TypeScript/JavaScript • LaTeX • Go (basic)
Data and ML: pandas • numpy • scipy • matplotlib • ggplot2 • PyTorch • scikit-learn • Power BI • Grafana
Cloud and infrastructure: Azure Function Apps • Azure Data Factory • Microsoft SQL Server • Google Cloud Storage • Cloudflare
Development: Express.js • Node.js • React • Flask • Git • Conda • Pixi
Geospatial: QGIS • Spatial analysis
Capabilities
Data engineering: ETL pipeline design and implementation • source integration • workflow automation
Analysis and modeling: Statistical modeling • time series • autoregressive models • visualization
Machine learning: Classification • feature extraction • computer vision • model training and evaluation
Scientific computing: Numerical methods • simulation • physical systems modeling
Technical communication: Writing • translation • documentation
Experience
Data Engineer — Intwo
Nov. 2025 - present
Design, development, and implementation of Microsoft Azure-based technological solutions for private sector organizations and institutions, focused on the integration, processing, and analysis of large data volumes. I participate in the construction and maintenance of applications and data pipelines using Azure Function Apps, Azure Data Factory, Python, R, and SQL, ensuring process automation, data quality, and data availability for decision-making.
Key achievements include:
- Development of a prediction algorithm for virtual machine resource usage using autoregressive models and PID controllers, used to optimize computational resource allocation across different families and regions.
- Design and implementation of monitoring and observability dashboards in Power BI and Grafana for telemetry and cost tracking.
- Automation of data integration and transformation workflows, improving operational efficiency and information availability for end users.
Customer service agent — Concentrix
Oct. 2024 - Mar. 2025 · 6 months
Customer service in a high-volume environment, handling information management systems and tracking performance metrics.
Steering committee member - REDai UNAL
Oct. 2022 - Feb. 2023 · 5 months
I was part of the UNGen project of the Red Estudiantil de Acompañamiento Integral (Comprehensive Student Support Network) at Universidad Nacional de Colombia. I was dedicated to research, promotion, support, and dissemination of topics related to gender equality and gender and sexual diversities.
- Performed data analysis on approximately 1,000 surveys to identify patterns of gender-based violence on campus, generating insights that guided communication and prevention strategies.
Freelance writer — Livingston Research
Mar. 2020 - Jun. 2021 · 1 year 4 months
Writing and translation of academic and technical texts across various fields of knowledge on demand, in both English and Spanish.
Education
BS, Physics - Universidad Nacional de Colombia
Jul. 2020 - Dec. 2026
Undergraduate degree in Physics. Emphasis on computational physics, data analysis and modeling. Experience in experimental data processing, numerical simulations, physical systems modeling, and results visualization.
Projects
catnip
in development
Machine learning system for identifying manga character faces—focused on one specific character—using PyTorch. Includes image processing, feature extraction, and computer vision model training.
linkedin-markdownificator
Oct. 2023 - present
Python tool to export LinkedIn profile data to Markdown format via web scraping.
Implementation of a discretization of the diffusion equation using finite differences
Apr. 2023 - Jun. 2023
Development of a numerical method to solve the diffusion equation using finite differences. Space-time discretization was implemented and the resulting system of linear equations was solved, validating the method’s effectiveness for simulating diffusion processes and heat transfer. Co-authorship with Manuel Angel García.
The economy and atrocity: war in Colombia and Rwanda
Jul. 2021 - Oct. 2021
Comparative analysis of economic causes, consequences, and post-conflict reconstruction processes in Colombia and Rwanda through historical-economic study. Processing and analysis of historical data to identify patterns and extract lessons for post-conflict contexts.
Certificates
Developing AI Applications with Python and Flask
IBMMay 2024
Developing Back-End Apps with Node.js and Express
IBMMay 2024
Developing Front-End Apps with React
IBMMay 2024
GIS Data Acquisition and Map Design
University of TorontoApr. 2024
Introduction to Cloud Computing
IBMApr. 2024
Specialization | Python for Everybody
University of MichiganSept. 2021
Volunteering
Translator - UNDP Sustainable Energy Hub
May 2024 - present
Translation of technical content related to the environment and transition to clean energy sources from English to Spanish.
Languages
- Spanish: Bilingual or native proficiency
- English: Full professional proficiency
- French: Basic proficiency