Prakash User
@prakashuser
M.Sc. Computer Science skilled in Python, AI, and machine learning.
What I'm looking for
I am a detail-oriented M.Sc. Computer Science graduate with hands-on experience in Python, AI, and machine learning, focused on data preprocessing, model development, and deployment.
I have worked on phishing and fake-URL detection projects using feature engineering, ensemble methods (Random Forest, XGBoost), and performed rigorous evaluation (accuracy, precision, recall, stratified testing); one research paper from my work is currently under review for an international journal.
I also completed internships and virtual programs—including a 40-day internship at IIIT Dharwad and full‑stack and cybersecurity virtual internships—gaining practical experience in Flask web development, model building, and collaborative research.
Experience
Work history, roles, and key accomplishments
M.Sc. Computer Science Student
Central University of Tamil Nadu
Aug 2023 - Jun 2025 (1 year 10 months)
Pursuing M.Sc. in Computer Science with a focus on Python, AI, and machine learning; led research on feature selection and ML models for phishing detection with a paper under international review.
Full Stack Intern
Employment Express
Nov 2022 - Nov 2022 (0 months)
Completed a two-month full stack Python virtual internship, developing and deploying a Flask-based web application and gaining experience in debugging and testing.
Machine Learning Intern
IIIT Dharwad
40-day internship focused on building and evaluating ML models for phishing detection, including dataset preprocessing, feature selection, and model training.
Education
Degrees, certifications, and relevant coursework
Central University of Tamil Nadu
Master of Science, Computer Science
2023 - 2025
Grade: 89%
M.Sc. in Computer Science with coursework and projects focused on AI and machine learning, achieving 89% overall percentage.
Sri Venkateswara Arts College, Tirupati
Bachelor of Science, Mathematics, Physics, and Computer Science
2020 - 2023
Grade: 87%
B.Sc. (MPCs) program with emphasis on mathematics, physics, and computer science, completed with 87% percentage.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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