Mayur Kadam

Gained hands-on experience in machine learning projects, focusing on classification, regression, and clustering tasks using neural networks. Improved prediction accuracy by up to 91% while handling datasets with over 10,000 records.

Developed a handwritten character recognition system using CNN, capable of recognizing various handwritten characters and alphabets.

Created an image classification system using neural networks, performing operations like flattening and max pooling for efficient execution.

Created a website for classifying product reviews as real or computer-generated, enhancing trust between customers and companies using machine learning and deep learning techniques.

Implemented a customer churn prediction model to identify potential customer attrition based on various financial indicators.

Developed a weather application using the Django framework, retrieving real-time temperature and humidity data while managing over 100 database records for efficient data storage and retrieval.

Implemented database connectivity of MySQL with Python and Flask for a stocks management webpage.

Developed a cloud-based task management website utilizing Google Firebase for data storage, managing task details like deadlines and statuses.

Grade: 8.9

Pursuing a Bachelor of Technology in Computer Science Engineering with a focus on developing skills in software development and machine learning. Achieved a top 10 ranking in class with an SGPA of 8.9.

Grade: 87%

Activities and societies: Taekwondo gold medalist

Completed Class XII with a focus on Science, achieving a percentage of 87%. Recognized as a Taekwondo gold medalist.

Grade: 80.40%

Completed Class X with a focus on general education, achieving a percentage of 80.40%. Developed foundational skills in various subjects.