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DP

Deepak P

Computer Science Engineering Student · Python / SQL / Machine Learning

Davangere, Karnataka, India

@deepak3

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🎓 B.E. in Computer Science & Engineering at Jain Institute of Technology, Davangere · Graduating 2027

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About

Computer Science Engineering undergraduate with hands-on experience in Python, SQL, machine learning, and database systems. Has built academic projects in phishing detection and relational database management, applying data preprocessing, model development, and software engineering principles.

Education

  • Bachelor of Engineering
    Jain Institute of Technology, Davangere
    Computer Science · Sep 2023 – Jun 2027
  • Pre-University Course
    Dr. Thimmareddy PU College for Boys, Davangere
    Science (PCMB) · Apr 2022 – Sep 2023
  • Secondary School Leaving Certificate
    Sri Siddaganga School, Davangere
    Apr 2020 – Jul 2021

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS Oop HTML Java NumPy Python Pandas scikit-learn Advanced DBMS Machine Learning Operating Systems Query Optimization Relational Database Design Data Structures and Algorithms

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git VS Code Jupyter Notebook

Languages

Native / Bilingual Native / Bilingual Their first language, or as strong as one.
Kannada Speak
Conversational Conversational Can hold an everyday conversation.
Hindi Speak English Speak

Projects

  • Railway Ticket Management System
    SQL, DBMS, Relational Database Design

    Architected a normalized relational database for railway ticket reservation; implemented complex SQL queries and transaction control for concurrent booking scenarios.

  • Phishing Website Detection Using Machine Learning
    Python, pandas, NumPy, scikit-learn, HTML

    Designed and developed an end-to-end ML pipeline to classify URLs as phishing or legitimate; built a lightweight HTML web interface for real-time URL safety predictions.

📚 Publications

  • A Hybrid Multi-Scale Deep Learning Framework for Robust Motor Imagery EEG Classification in Brain–Computer Interfaces · 2026

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