A happy Data Scientist passionate about machine learning, marketing, and finance. With training in Industrial Economics and a solid foundation in Python, SQL, and Power BI, I specialize in transforming complex data into clear solutions and strategic decisions.

🔍 Throughout my career, I have used advanced analysis to predict market trends and consumer behaviors, optimizing advertising campaigns and financial strategies. My experience ranges from developing interactive dashboards for medical diagnostics to econometric analyses that inform policies and business strategies.

With solid experience in financial analysis and market research, I apply advanced data techniques to reveal insights that drive marketing strategies and financial decisions.

• Credit Risk Predictive Model with Scikit Learn Using Scikit Learn to analyze and predict clients' credit risk, improving decision-making in loan approvals.

• Market Trend Analysis with Pandas and NumPy Analyzing large market datasets to identify trends and provide data-driven marketing strategy recommendations.

• Interactive Sales Dashboard with Power BI Developing interactive dashboards in Power BI to visualize sales KPIs and marketing performance, facilitating the understanding of complex data and strategic decision-making.