Muiz Yusuf

Data Scientist @10alytics

GB

Data Insights: Designed and executed ETL processes on daily transactions, applying advanced SQL queries to uncover operational inefficiencies that improved process efficiency by 18% and reduced costs by $750K annually-Revenue Growth: Created a customer recommendation engine that increased cross-sell and up-sell rates by 20%, driving $5M in incremental revenue within 6 months- Fraud Detection: Developed a fraud detection algorithm using Python (Scikit-learn, TensorFlow) that reduced fraudulent transactions by 28%, contributing to an annual savings of $1.2M in lost revenue- Improved Customer Retention: Built and deployed machine learning models that enhanced churn prediction accuracy by 35%, enabling the company to retain customers and reducing churn-related revenue loss by 25%-Cross-Functional Collaboration: Collaborated with a team of 15+ senior data scientists and analysts to solve 20+ high-impact business problems, influencing key strategic decisions and delivering $8M in cumulative value to the organization-Customer Satisfaction: Implemented Natural Language Processing (NLP) models to analyze customer feedback entries, leading to a 30% increase in customer satisfaction and a 15% improvement in Net Promoter Score (NPS).