Elisio de Leon

Developed several Machine Learning projects within Cognite Data Fusion, managing all project phases from data ingestion and contextualization to solution deployment and scaling. Contributed to the full lifecycle of ML solutions, ensuring robust and scalable implementations.

Developed a predictive solution using Decision Tree methods to forecast customer behaviors, such as churn probability and product purchase likelihood. Utilized Python libraries including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Matplotlib, along with Power BI for visualization, improving product/customer ratio accuracy by 23%.

Designed a data science solution for the marketing department to assess commercial approval using linear regression, predicting acceptance based on variables like age, gender, and viewing time. Analyzed complex datasets with Python (Pandas, NumPy, SciPy, Scikit-learn) and Tableau, leading to a 15% increase in sales through data-driven decisions.

Analyzed product acceptance and predicted future behaviors using Google Colab, MS SQL Server, PostgreSQL, PL/SQL, Python, Scikit-learn, Pandas, Numpy, PySpark, Matplotlib, Seaborn, and Power BI. Implemented a Random Forest model that resulted in a 25% saving in applying changes to increase product acceptance.

Developed a risk analysis model for customer default on financial institution loans using statistical and Machine Learning models. Utilized Google Colab, Python, scikit-learn, pandas, numpy, Spark, FastAPI, and AWS, achieving a 40% reduction in default rates after model implementation.

Studied core concepts of information systems, including software development, database management, and network administration. Gained foundational knowledge essential for a career in technology.

Focused on high-performance computing, machine learning, large language models, and multi-agent systems. Completed a thesis on cargo movement simulation with geoprocessing and multi-agents.

Specialized in multi-agent systems, machine learning, geoprocessing, and Big Data. Developed a thesis on cargo movement simulation with geoprocessing and multi-agents.