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πŸ’­
Currently Studying
πŸ’­
Currently Studying
  • CEID
  • Patra
  • 00:26 (UTC +02:00)

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IBilba/README.md

πŸ‘‹ About Me

I'm a software engineer and data scientist passionate about building intelligent systems and full-stack applications. My work spans across machine learning, web development, systems programming, and high-performance computing, with a focus on creating practical solutions to real-world problems.

πŸ”§ Technical Skills

  • Languages: Python, C, C++, Java, TypeScript, JavaScript
  • Machine Learning: Neural Networks, Linear Regression, Classification Algorithms, NLP
  • Full-Stack Development: React, Node.js, Web Technologies
  • Systems Programming: Operating Systems, Compiler Design, Low-level Programming
  • Parallel Computing: MPI, OpenMP, High-Performance Optimization
  • Database Systems: DBMS Design & Implementation with GUI

πŸš€ Featured Projects

  • πŸ€ Real Mantri BC Dashboard - Basketball analytics platform with real-time player statistics and performance metrics
  • 🩺 Pet-a-Vet - Digital platform for veterinary services
  • πŸ—„οΈ Database Management System - Custom DBMS implementation with graphical user interface
  • ⚑ Parallel Computing - MDS optimization and ML hyperparameter tuning using parallel algorithms
  • πŸ€– ML Projects - Stock price prediction, spam detection with SBERT embeddings (96.85% F1-score)
  • βš™οΈ Compiler Design - Custom OOP language compiler using Flex & Bison
  • πŸ’» SmartBoard - Interactive web application

🌱 Interests

Machine Learning | Data Visualization | Sports Analytics | Healthcare Tech | Systems Architecture | Parallel Computing

πŸ“« Let's Connect

Always open to collaborating on innovative projects and discussing tech!

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  1. Pet-a-Vet Pet-a-Vet Public

    Digital Platform for Veterinarian Services

    TypeScript 1

  2. Flex-Bison-Compiler Flex-Bison-Compiler Public

    This project is a compiler for a simple object-oriented programming (OOP) language, developed using Lex and Bison.

    C 2

  3. stock-price-linear-regression stock-price-linear-regression Public

    This project implements a comprehensive machine learning pipeline to predict Netflix (NFLX) stock prices using linear regression and various advanced techniques for the course Statistical Methods o…

    Jupyter Notebook 1

  4. spam-recognision spam-recognision Public

    A comprehensive machine learning project for spam email detection using multiple classification algorithms and feature representations. This project compares traditional Bag-of-Words (BoW) with mod…

    Jupyter Notebook 1