Beatriz Cruz Jover

Hands-on experience with Large Language Models (LLMs), including Gemini, for building and optimizing AI-driven applications.
Knowledge of end-to-end software development processes, including design, development, testing, and deployment.
Contributed to the development and deployment of end-to-end GenAI applications for internal tech use case.

Intensive training in data science focused on solving real-world business problems through data analysis, modeling, and insights generation. Python was the core programming language across all projects and modules. Key areas of expertise include:
- Web Scraping & Data Collection: Automated data extraction via APIs and web scraping.
- Data Cleaning & Preprocessing: Handling missing values, normalization, and feature engineering using pandas, NumPy, and scikit-learn.
- EDA & Visualization: Statistical analysis and data storytelling using Matplotlib, Seaborn, and Plotly.
- Machine Learning: Supervised model building, evaluation, and cross-validation using scikit-learn.
- Data Analysis & BI: Working with SQL databases, structured data analysis, Excel dashboards, and storytelling techniques.
- Model Deployment & APIs: Building and deploying interactive applications using FastAPI and Streamlit.
- Generative AI & NLP: Applied natural language processing, computer vision, and generative AI tools to real-world use cases.
- Agile Methodology: Collaborated in agile teams with iterative development cycles, sprint planning, and peer reviews.

Assist in identifying and analyzing process improvements within the supply chain.
Implemented machine learning models to optimize hotel demand forecasting and planning.
Collaboration with stakeholders to implement innovative IT solutions.