Virochana .

Project Intern

Infosys Springboard•  October 2024 - December 2024•  Remote

During my internship at Infosys Springboard, I developed a Dynamic Pricing Model for a ride-sharing platform using regression techniques to predict optimal fare rates based on factors such as the number of riders, drivers, past rides, average ratings, expected ride duration, location category, customer loyalty status, time of booking, and vehicle type. I analyzed datasets and applied regression models to build predictive algorithms that estimated ideal prices based on demand and market conditions. The aim was to balance profitability with customer satisfaction by implementing strategies for dynamic pricing that responded to real-time data. This experience enhanced my skills in data science, statistical modeling, and tools like Python, scikit-learn, and real-time data processing, enabling me to deliver actionable insights and develop robust, data-driven pricing strategies.

Srinivas University Institute of Engineering and Technology

Artificial Intelligence and Machine Learning, B.Tech•  November 2022 - Present•  CGPA: 9.6

I am currently pursuing my B.Tech in Artificial Intelligence and Machine Learning at Srinivas University Institute of Engineering and Technology. My studies focus on the fundamentals of AI, machine learning algorithms, data science, and neural networks. Through hands-on projects and coursework, I am building expertise in tools and technologies like Python, TensorFlow, and data analysis techniques. I am also actively participating in coding competitions, AI-related workshops, and collaborative projects, which help me sharpen my problem-solving skills and gain practical experience in the evolving field of AI. I am excited to continue expanding my knowledge and apply it to real-world AI applications.