As a data-driven Economics major with hands-on experience in predictive modeling, I thrive at the intersection of data science and economics. My academic journey has equipped me with a deep understanding of economic theories, complemented by practical skills in data analysis and econometric modeling.

Key Highlights:

• Predictive Modeling: Developed a Python-based predictive model to analyze health insurance claims, identifying 'smoking status' and 'age' as the most significant factors influencing claim amounts. This project demonstrated my ability to apply data science techniques to uncover key insights from complex datasets.
• Data Science Tools: Gained proficiency in Python, SQL, and data visualization tools like Tableau through hands-on projects, enabling me to effectively analyze and interpret data to generate meaningful insights.

I am passionate about leveraging data science to drive innovation and solve complex challenges. I look forward to applying my analytical skills to contribute to impactful projects in the field.