Kumar Rajmani Bapat

Elevated student assignment scores by 30%, demonstrating high levels of concept mastery and practical data science proficiency through targeted office hours and interactive code walks Conducted sentiment analysis on student data, tailoring teaching methodologies to optimize learning experiences and drive improved academic results

Developed a high-precision AI-driven crop disease detection model using CNN and image processing techniques, providing farmers with actionable data insights that led to a significant 15% reduction in crop losses Evaluated machine learning models on dataset of over 85,000 images using image reduction, feature engineering, and data automation techniques, resulting in a 60% reduction in workload Optimized the performance of machine learning model by strategically applying PCA, KNN, and the Decision Tree algorithm, resulting in a 70% increase in accuracy of model

Revamped customer churn prediction at Courses by implementing a Python-based predictive model, resulting in a 18% accuracy boost existing models, facilitating proactive customer retention strategies Strategically utilized Tableau, Python, and Google Analytics for report generation, enabling data-driven decision making and effective data visualization, culminating in a 30% boost in user experience Architected a Machine Learning algorithm for audience segmentation and recommended relevant education courses based on user behaviors, resulting in a 20% increase in enrollments Conducted thorough analyses of email, push, SMS, OTT, CTV, and other marketing campaigns to identify key performance factors, resulting in a 9% improvement in conversion rates, and a 10% increase in ROI