Alba Márquez-Rodríguez

Experience

• Project: "SEANIMALMOVE: Monitoring the movement and population dynamics of marine and coastal vertebrates in the face of anthropogenic impacts in a global change scenario.”
• Development of scripts for the preprocessing and processing and management of the data.

• Project: "BIRDEEP: Monitoring the health status of ecosystems by automatically detecting bird songs using Deep Learning”.
• Development of scripts for the preprocessing and processing and management of the data.
• Creation of deep learning models and analysis of results.

• Development of a deep learning-based model for detecting and classifying camera trap images.
• Design and implementation of a hierarchical model for detection and classification of species in camera trap images.
• Conclusion of the project through the generation and in-depth analysis of the results.

• Project: "Automatic system for census and monitoring of biodiversity using deep learning techniques (DeeP Learning DL)".
• Developed scripts for the preprocessing, processing and management of the data.
• Created, developed, and managed Convolutional Neural Network models for images classification.

Education

• Presented “Fuzzy software for estimating the viability of turbines in the use of marine currents” at V ScienCity Conference.
• TFG: Classification of camera trap images with a convolutional neural network.

Additional Education

• Participated in a three-week intensive program focusing on computer vision methods for ecological research.
• Developed skills in analyzing large image, audio, and video datasets using advanced computer vision techniques.
• Engaged in classroom training, hands-on projects, and one-on-one mentorship.

• Art generator with genetic algorithm and boids project
• Color Detector Project

Volunteering

• Organized and participated in environmental awareness and volunteering activities

• Volunteer at the biggest eastern european technological conference hosted in Wroclaw, Poland

Skills

Skills	Libraries	Software	Coding Languages	Languages
Computer Vision	TensorFlow	Visual Studio Code	Python	Spanish – Native
Data Analysis	PyTorch	Linux Terminals	C++	English – C1
Data preprocessing			SQL	French – B2
			Java