Victoria Nwobodo

Data Scientist @10alytics

AB, CA

Customer Segmentation for an NGO’s Fund Disbursement: Implemented a K-Means clustering model to categorize countries based on economic and social indicators, optimizing fund allocation strategies and influencing the NGO\'s decision-making process. This led to more effective resource distribution, improving fund targeting by 20%.Loan Default Prediction: Developed a machine learning model using Logistic Regression and Random Forest to assess loan default risk. Conducted data cleaning, feature engineering, and exploratory data analysis (EDA), achieving 85% accuracy and recall, resulting in a 10% reduction in loan defaults.British Airways Web Scraping & Customer Booking Prediction: Extracted customer reviews using BeautifulSoup and Selenium, performed sentiment analysis, and built a predictive model with 87% accuracy to determine booking likelihood based on browsing behavior. This improved target marketing customization, driving a 15% increase in booking conversion rates.Car Detection with OpenCV & EasyOCR: Built a computer vision model using OpenCV and EasyOCR for vehicle detection in parking lots, improving surveillance efficiency. The real-time object detection pipeline accurately identified parked vehicles, contributing to improved parking management.Developed a customer churn prediction model using Decision Tree Classifier, achieved 80% accuracy and increased retention by 15% through targeted customer engagement strategies.

Lagos State University

Bachelor's degree