- Master of Science in Data Analytics for Science

- Selected Coursework: Large Scale Computing in Data Science, Neural Networks and Deep Learning in Science, Computer Vision.

- Bachelor of Science in Mathematics

- Selected Coursework: Databases, Data Structures, Algorithm Design, Parallel Computing, Computational Geometry.

Tools: Python, R, C/C++, SQL, JavaScript, MATLAB, Prometheus, Grafana, Excel, AWS, Databricks.

Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, MPI, Spark.

Languages: Spanish (Native), English (Professional Prociency).

Data Analyst - Casual 

• Performed duties focused on managing purchases from textile suppliers across Spain, verifying payments, analyzing

purchase histories, and forecasting future procurement needs

• Designed and implemented a system for ecient distribution of large shipments twice annually, optimizing pallet

organization for cost-effective delivery across Europe, minimizing excess fees.

Research Assistant - Part time

• Conducted statistical analysis for human interactions with Llama 3.2 and Qwen 2.5, navigating the limitations of our nvidia gpu. This constraint led me to adopt a multi-gpu approach, which I addressed by implementing vLLM APIs.
• Collaborated with the cluster management team to coordinate gpu access and scheduling, ensuring balance usage across our team and other users
  

Data Scientist Intern – Full time 

• Participated in an innovative research project to enhance client’s alarm ltering capabilities, working closely with system experts to analyze the limitations of the existing rule-based expert system.
• Pioneered the integration of NLP modeling to address limitations in time-series data for preemptive alarm ltering, leveraging Prometheus and Grafana to monitor live data streams via APIs for real-time analysis and undertaking personal research to bridge team knowledge gaps in data science.
  

Neural Network Playground Website

• Developed an interactive website for building, training, and testing neural networks, providing a user-friendly and visually intuitive tool for coworkers to explore neural network principles. This platform complimented my thesis, which detailed the mathematical foundations behind these concepts.
• Oversaw software testing to ensure platform reliability, enabling smooth JavaScript communication between server and users across university’s local network.
  

Quantitative Trading System

• Developed a Python-based trading platform leveraging ynance data and a Prometheus backend for live nancial datamanagement and analysis..
• Applied statistical techniques, robot trading algorithms and deep-learning models to optimize stop-loss and max return strategies for measurable performance gains.