Conducted market research and competitor analysis, providing insights for product development resulting in a 30% increase in market share.Built machine learning models using Python and scikit-learn to predict customer churn, leading to a 12% reduction in customer attrition rate.Collaborated with business stakeholders to define key performance metrics and developed automated reporting dashboards using Tableau.

Employed advanced data visualization tools, such as Tableau and Matplotlib, to conduct an exhaustive analysis of the correlation between study hours and academic scores, yielding actionable insights into student performance trends.Engineered a precise predictive model utilizing the Linear Regression algorithm and leveraging data engineering techniques, achieving an impressive 90% accuracy in forecasting student scores based on study hours. This model facilitated targeted interventions, resulting in a notable 12% increase in overall student performance.Collaborated closely with team members to evaluate model performance metrics and brainstorm strategies for enhancing accuracy and efficiency, employing data engineering principles to optimize data pipelines and streamline processes.