MOHAMMAD AHMAD

Organized coding competitions and events at Lovely Professional University, promoting participation and engagement among students. Successfully managed events like CODEKAZE and CODING WORLD CUP, achieving over 800 participants.

Led the Coding Ninjas LPU Club, organizing hackathons and coding events. Successfully managed a 24-hour hackathon with over 230 teams participating, fostering a collaborative coding environment.

Developed multiple machine learning models for predictive analytics in solar power generation and electricity demand forecasting. Integrated real-time weather data and performed extensive data preprocessing.

Developed a machine learning-driven obesity estimation system utilizing dietary patterns and fitness data. Implemented various classification models achieving 98% accuracy and managed outlier handling and correlation analysis for robust model performance.

Grade: 7.71 CGPA

Pursuing a Bachelor of Technology in Computer Science & Engineering with a focus on machine learning and AI applications. Engaged in projects involving predictive modeling and real-time data integration.

Grade: 92.6 %

Completed Intermediate (CBSE) with a focus on science subjects, achieving a strong academic performance. Developed foundational skills in analytical thinking and problem-solving.

Grade: 93.8 %

Completed High School (CBSE) with a focus on science and mathematics, achieving high marks. Developed a strong foundation in critical thinking and analytical skills.