Mohammed Rifaiz
@mohammedrifaiz
Aspiring data scientist with a strong foundation in machine learning.
What I'm looking for
I'm Mohammed Rifaiz, a dedicated and ambitious engineering student specializing in Computer Science. Currently pursuing my Bachelor's degree at Yenepoya Institute of Technology, I have developed a solid foundation in data science and machine learning through hands-on projects and internships. My academic journey has been marked by a CGPA of 8.8, reflecting my commitment to excellence.
During my recent internship at Zephyr Technologies, I successfully developed a Face Recognition Attendance System using Python and OpenCV, showcasing my ability to apply theoretical knowledge to practical challenges. My projects, including the MNIST Handwritten Digit Classification and a Next-Gen Honeypot System, demonstrate my proficiency in utilizing machine learning algorithms and cloud technologies like AWS. I am passionate about leveraging data to drive insights and innovations.
Experience
Work history, roles, and key accomplishments
Next-Gen Honeypot System
Personal Project
Jan 2025 - Present (5 months)
Built a next-gen honeypot system using AWS and EC2 to capture system traffic and identify malicious activity. Utilized machine learning to predict malicious log patterns, enhancing real-time threat monitoring.
MNIST Handwritten Digit Classification
Personal Project
Mar 2024 - Present (1 year 3 months)
Developed a MNIST Handwritten Digit Classification system using Convolutional Neural Networks (CNN) for image recognition. The model was trained using the MNIST dataset from Keras to recognize digits in uploaded images.
Face Recognition Based Attendance System
Personal Project
Nov 2023 - Present (1 year 7 months)
Designed a Face Recognition Attendance System that records attendance in real-time using webcam data and OpenCV. The system efficiently tracks attendance for students and employees, storing data in a CSV file.
Data Science Intern
Zephyr Technologies
Oct 2023 - Oct 2023 (-1 years 11 months)
As a Data Science Intern at Zephyr Technologies, I developed a Face Recognition Attendance System using Python's OpenCV module. I trained datasets and analyzed data using various machine learning algorithms, visualizing results with Matplotlib and Seaborn in Jupyter Notebook.
Education
Degrees, certifications, and relevant coursework
Yenepoya Institute Of Technology
Bachelor of Engineering, Computer Science
2021 - 2025
Grade: CGPA: 8.8
Activities and societies: Executive Committee Member of YIT Embedded Club, Event Coordinator of Technical Event Yen IoT Expo-2024, Member of Google Developer Student Club at NITK Surathkal.
Pursuing a Bachelor of Engineering in Computer Science with a CGPA of 8.8. Engaged in various technical projects and coursework related to data structures, database management, data science, machine learning, artificial intelligence, and data analytics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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