Developed a recommendation system to suggest products to customers based on historical online retail data. Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.
Online Retail Recommendation System, Developed a recommendation system to suggest products to customers based on historical online retail data., Utilized Python to analyses a Kaggle dataset, applying data preprocessing, exploratory data analysis, and machine learning algorithms to detect highly recommended products., Implemented collaborative filtering and content-based filtering techniques to optimize product recommendations., Enhanced recommendation accuracy, improving the customer shopping experience on e-commerce platforms.
Campus Bicycle Rental System, Developed a bicycle rental service to provide a sustainable, efficient, and convenient mode of transportation for VIT campus members., Implemented Python and AI-driven systems for data analysis, cycle distribution, and service optimization., Integrated advanced tech features like geo-tracking and AI/ML for demand forecasting., Enhanced transportation efficiency, reduced congestion, and promote an eco-friendly, health-conscious commuting culture on campus.