Harleen Hora

Conducted profound Data Analysis using Pandas and Matplotlib to identify key factors contributing to customer churn. Leveraging advanced Data Mining, developed a robust churn prediction model that accurately forecasts which customers are at a higher risk of leaving.

Achieved 78% accuracy in predicting ad clicks by developing a targeted machine learning model using user data. Utilized PCA for feature selection in a regression model predicting student registrations in market-specific courses. Using prediction modeling algorithms identified look-alike batches, achieving a 25% increase in target audience reach.

Gathered and scrutinized data on established and prospective customers, competitors and marketing channels using SQL, Excel, and Tableau to report on sales trends, identify new sales opportunities, and improve business processes. Business Analysis to identify the customer segments and refining business model.

Conducted extensive research, analyzed data, and delivered evidence-based insights for holistic health interventions promoting well-being and balanced lifestyles. Created a data visualization dashboard that helped executives make better decisions.