Fresh Computer Science Graduate
Programming Skills: Python, SQL, C, C++, Java, js, Laravel, Django, PHP, AWS, Git
Simulation Software: LTSpice, Proteus, Wireshark, Oracle Virtual Box, 8086 emulator, Cisco Packet Tracer, MATLAB
B.S. CSE | BRAC University, Dhaka, Bangladesh (2021 - 2025)
CGPA: ****
H.S.C. Science | Adamjee Cantonment College, Dhaka, Bangladesh (2017 - 2019)
GPA: 5.00
S.S.C. Science | Bangladesh International School, Dhaka, Bangladesh (2017)
GPA: 5.00
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This project uses machine learning to predict cardiovascular diseases (CVDs) from a Kaggle dataset of 70,000 records with 13 health features. Random Forest performed best (98% training, 71% testing), while Logistic Regression and MLP achieved ~72–73% accuracy. It demonstrates the potential of machine learning for early detection and risk prediction of heart diseases.