About Me
Data Scientist & Project Manager
Experience
Data Science Apprenticeship
Implemented monitoring features using Machine Learning techniques.
Applied Natural Language Processing (NLP) methods.
Implemented Transformers Models for effective strategic monitoring.
Created efficient interfaces enabling seamless integration of developed features.
Actively participated in designing and implementing innovative monitoring strategies.
Optimized the analysis of relevant information.
Expert use of tools such as Python, Visual Studio, Microsoft SQL Server Management, and Visual Studio Code.
Data science End-of-Studies Project
Successfully designed and implemented a marketing individuation plan for a telecommunications operator.
Significantly enhancing the personalization of strategies.
Expert use of methods such as data preprocessing, scoring, arbitration, supervised learning, sampling, and A/B testing to optimize campaign performance.
Proficient in tools such as R for advanced analysis, Excel for modeling, and the use of collaborative platforms like Jira, Confluences, and PowerPoint for effective project management.
Data Science Internship
Extraction, cleaning, and in-depth analysis of data from websites.
Providing crucial insights for optimizing marketing strategies.
Design and implementation of recommendation models, customer segmentation, and predictive analysis to anticipate trends and user behaviors.
Mastery of clustering, deep learning, and regression techniques to solve complex issues related to digital marketing.
Expert use of Oracle SQL, Microsoft Power BI, and Python for data manipulation, visualization, and advanced analysis.