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NuryeNigusMekonen/README.md

Hello, I'm Nurye Nigus Mekonen

Electromechanical Engineer | Computer Science Master's Graduate | Full Stack & AI Developer
📍 Addis Ababa, Ethiopia
📧 nurye.nigus.me@gmail.com
🔗 LinkedIn

About Me

I bridge the gap between physical systems and intelligent software. With a B.Sc. in Electromechanical Engineering and an M.Sc. in Computer Science, I build full-stack AI applications and industrial control systems. My passion lies in creating integrated solutions from data and models to scalable APIs and interactive interfaces.

Technical Toolkit

Machine Learning & AI

Python TensorFlow PyTorch Scikit-learn Pandas NumPy

  • Natural Language Processing (Amharic NLP, classification, POS tagging, chatbots)
  • Computer Vision & Time Series Analysis
  • Model Evaluation & Explainability (XAI)

Full Stack Development

Flask React PostgreSQL Docker REST API JavaScript HTML5 CSS3

  • Backend: Python, Flask, REST API design, JWT authentication, SQLAlchemy
  • Frontend: React, Axios, modern CSS/HTML
  • Databases: PostgreSQL, SQLite
  • DevOps & Tools: Docker, Git, CI/CD fundamentals

Industrial Automation & Control

PLC Arduino Raspberry Pi Linux

  • PLC programming (Ladder Logic, Structured Text)
  • HMI/SCADA design, sensor & actuator integration
  • Electrical panel design, diesel generators, UPS systems
  • Encoder-based measurement & control systems

Featured Projects

Project Description Tech Stack
Amharic News Classifier NLP model to classify Amharic news articles. Python, Transformers, Flask
Amharic POS Tagger Part-of-speech tagger for Amharic language. Python, CRF, NLTK
Amharic Chat Bot Conversational AI chatbot for Amharic. Python, Rasa, TensorFlow
Sentiment Stock Predictor Stock prediction using news sentiment analysis. Python, LSTM, yfinance, Flask
Fintech App Analytics Scraping & analytics of fintech app reviews. Python, Selenium, TextBlob, Dash

My Development Workflow

  1. Data Acquisition – Gather structured/unstructured data from APIs, sensors, or text.
  2. Processing & Modeling – Clean, explore, and train ML models for prediction or insight.
  3. API Development – Serve models and business logic via scalable Flask REST APIs.
  4. Frontend Integration – Build responsive React interfaces that consume backend services.
  5. Deployment – Containerize with Docker and deploy for reliable, reproducible execution.

Let's Connect

I'm always open to discussing AI, full-stack development, automation projects, or research collaboration.

"Engineering is the art of directing the great sources of power in nature for the use and convenience of man." – Adapted from Thomas Tredgold

Pinned Loading

  1. Insurance-Risk-Analytics---Predictive-Modeling-for-ACIS Insurance-Risk-Analytics---Predictive-Modeling-for-ACIS Public

    A comprehensive end-to-end project that analyzes real-world car insurance data for AlphaCare Insurance Solutions (ACIS). The goal is to identify low-risk customer segments, evaluate regional risk v…

    Jupyter Notebook

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

    This project aims to create accurate and strong fraud detection models that handle the unique challenges of both types of transaction data. It also includes using geolocation analysis and transacti…

    Jupyter Notebook

  3. Customer_Experience_Analytics_for_Fintech_Apps Customer_Experience_Analytics_for_Fintech_Apps Public

    scrapping user experience data from the three banking sectors mobile banking app and then give a suggestion based on that

    Python

  4. Intelligent-Complaint-Analysis-for-Financial-Services Intelligent-Complaint-Analysis-for-Financial-Services Public

    Building a RAG-Powered Chatbot to Turn Customer Feedback into Actionable Insights

    Jupyter Notebook

  5. MoonLight-Energy-Solutions-Data-Analysis MoonLight-Energy-Solutions-Data-Analysis Public

    my task here is to perform a quick analysis of an environmental measurement provided by the engineering team and translate this observation as a strategy report. my analysis is going to focus on id…

    Python