Vipul Pandey

I am an enthusiastic Machine Learning beginner with a solid foundation in developing and implementing machine learning models. My proficiency in Python, scikit-learn, and basic TensorFlow has allowed me to gain hands-on experience in data preprocessing, feature engineering, and building predictive models. I am eager to apply my skills in statistical analysis and supervised learning to solve real-world problems.

One of my notable projects is the Student Performance Predictor, where I developed a machine learning model to predict student performance based on various factors. I deployed this model using Flask, creating a user-friendly web interface for real-time predictions. Additionally, I worked on the Vehicle Insurance Predictor, which involved building modular ML pipelines and deploying an end-to-end prediction system using MLOps tools. This project showcased my ability to automate CI/CD workflows and integrate cloud databases for secure data management.

My educational background in Electronics and Communication Engineering from Jaypee Institute of Information Technology has equipped me with a strong technical foundation. I am committed to continuous learning and growth in the field of machine learning and data science.