About Me

I am a final year B.Tech student specializing in Artificial Intelligence and Machine Learning at VIT Bhopal University. With a strong academic background and hands-on experience in data science , machine learning and AI, I am passionate about applying my knowledge to solve real-world problems.

Academic Background

Currently pursuing a B.Tech in Artificial Intelligence and Machine Learning at VIT Bhopal University, I have developed a solid foundation in machine learning, deep learning, and artificial intelligence through my coursework. Along with this , I also hold good command over programming languages and it's concepts

Research and Projects

Research Paper

Title: "A Study on Machine Learning Techniques for Rainfall Prediction in the Indian Agricultural Landscape"
Publication: Submitted to Springer
Description: Conducted in-depth research on applying machine learning techniques for accurate rainfall prediction, aiming to aid the agricultural sector in India.

Key Projects

Rainfall Prediction Model: Developed a machine learning model to predict rainfall, providing irrigation recommendations to optimize water usage for farmers.
Spam E-mail Classification: Created a robust machine learning model to classify emails as spam or not spam, enhancing email security.
Customer Churn Prediction: Designed a predictive model to identify customers likely to churn, helping businesses implement retention strategies.
Movie Genre Recommendation: Built a recommendation system to suggest movie genres based on user preferences, improving user experience on streaming platforms.

Skills and Technologies

Programming Languages: Python, C++, SQL, Java, Swift
Libraries and Frameworks: scikit-learn, TensorFlow, PyTorch, pandas, numpy, matplotlib
Data Handling: Proficient in managing and analyzing real-world datasets using services like Tableau and Qlik Sense.

Contact Information
Email: [email protected]
Phone: 9953654129

I am eager to contribute my skills and knowledge to exciting projects and further my expertise in machine learning through collaborative and innovative hackathon experiences.