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yohannestayez/README.md

🌟 Hi there! I’m Yohannes Taye πŸ‘‹


πŸŽ“ Fourth-Year Computer Science Student at Unity University, passionate about technology and driven to create innovative solutions to real-world problems.

πŸ’‘ What I’m Passionate About

  • Artificial Intelligence & Machine Learning πŸ€–
  • Data Science & Big Data Analytics πŸ“Š
  • Computer Vision & Natural Language Processing πŸ”
  • Building robust, scalable systems and contributing to open-source communities 🌐

πŸ“š Tech Stack I Work With

  • πŸ’» Languages: Python, Java, JavaScript, PHP
  • 🌐 Frontend: HTML, CSS, Bootstrap, React.js
  • βš™οΈ Backend & Frameworks: Flask, FastAPI
  • πŸ“Š Data Science: NumPy, Pandas, Matplotlib, scikit-learn, PyTorch, SQLAlchemy
  • πŸ› οΈ DevOps: Docker, Git, PostgreSQL

🎯 What I Can Do for You

  • Build and optimize machine learning models for predictive analysis and more.
  • Analyze and visualize large datasets πŸ“ˆ to derive actionable insights.
  • Collaborate on innovative projects to solve challenging problems πŸš€.

πŸ’¬ Let’s Connect

I’m always happy to chat about:

  • πŸ€– AI & ML technologies
  • 🌟 Emerging trends in Data Science
  • πŸ’» Anything related to technology and coding!

πŸ“« Reach out to me via email: [email protected] πŸ“©

🌐 Stay connected on LinkedIn: LinkedIn 🌟


πŸ”— Connect with me:

LinkedIn Telegram

πŸ’‘ Skills:

JavaScript Bootstrap PHP Java Python Pandas NumPy SciPy Matplotlib scikit-learn PyTorch SQLAlchemy PostgreSQL Flask FastAPI Docker

πŸ’» Fun Fact About Me

I turned setbacks into stepping stones πŸ’ͺ, restarting my computer science journey from the ground up πŸ“š. Today, I’m building AI-powered solutions πŸš€ to drive impact, spark innovation ⚑, and create meaningful change 🌍!


πŸ“Š GitHub Stats:

Yohannes's GitHub stats

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  1. Improved-detection-of-fraud-cases-for-e-commerce-and-bank-transactions Improved-detection-of-fraud-cases-for-e-commerce-and-bank-transactions Public

    The repo provides a comprehensive guide to data preparation, machine learning model training, and interpretation, focusing on credit scoring and fraud detection. It utilizes explainable AI techniqu…

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  2. Credit-Scoring-Model Credit-Scoring-Model Public

    This project aims to develop a credit scoring model for a buy-now-pay-later service. The model will analyze transaction data to predict credit risk and aid in decision-making.

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  3. Telegram-based-e-commerce-model Telegram-based-e-commerce-model Public

    This project extracts named entities like locations, prices, and products from Telegram messages. It involves data scraping, preprocessing, tokenization, and labeling using both pre-trained models …

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  4. Building-FAQ-Chatbot Building-FAQ-Chatbot Public

    A simple, interactive chatbot designed to provide financial guidance by answering frequently asked questions about finance.

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  5. SMS-messages-classificaiton-with-PCN SMS-messages-classificaiton-with-PCN Public

    This project implemented a Predictive Coding Network (PCN) for SMS spam classification using the ngclearn library. Inspired by neural processing, the PCN, with two hidden layers, was trained on pre…

    Jupyter Notebook 1

  6. Movie-Recommendation-System Movie-Recommendation-System Public

    A Movie Recommendation System leveraging Neo4j. Processes raw data, populates a graph database, and provides recommendation algorithms like collaborative and content-based filtering using Cypher qu…

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